Commit
·
b98a7c2
1
Parent(s):
6802c7e
lop_dec2024
Browse files- README.md +202 -0
- adapter_config.json +36 -0
- adapter_model.safetensors +3 -0
- trainer_state.json +3830 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Salesforce/codet5p-770m
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Salesforce/codet5p-770m",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 64,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [
|
| 18 |
+
"embed_tokens"
|
| 19 |
+
],
|
| 20 |
+
"peft_type": "LORA",
|
| 21 |
+
"r": 32,
|
| 22 |
+
"rank_pattern": {},
|
| 23 |
+
"revision": null,
|
| 24 |
+
"target_modules": [
|
| 25 |
+
"v",
|
| 26 |
+
"lm_head",
|
| 27 |
+
"o",
|
| 28 |
+
"q",
|
| 29 |
+
"wo",
|
| 30 |
+
"k",
|
| 31 |
+
"wi"
|
| 32 |
+
],
|
| 33 |
+
"task_type": "SEQ_2_SEQ_LM",
|
| 34 |
+
"use_dora": false,
|
| 35 |
+
"use_rslora": false
|
| 36 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f56f5db0055abf670aaa7b6258ebaf24ae65669bbb4e85a6b6fc5589d5372635
|
| 3 |
+
size 274252864
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3830 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.3201138377189636,
|
| 3 |
+
"best_model_checkpoint": "saved_model/lop_dec2024/checkpoint-5422",
|
| 4 |
+
"epoch": 0.9999538936788234,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 5422,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"grad_norm": NaN,
|
| 14 |
+
"learning_rate": 0.0,
|
| 15 |
+
"loss": 72.616,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0,
|
| 20 |
+
"grad_norm": 15.978808403015137,
|
| 21 |
+
"learning_rate": 3e-06,
|
| 22 |
+
"loss": 72.0656,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0,
|
| 27 |
+
"grad_norm": 16.57687759399414,
|
| 28 |
+
"learning_rate": 7.000000000000001e-06,
|
| 29 |
+
"loss": 71.4774,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.01,
|
| 34 |
+
"grad_norm": 17.607620239257812,
|
| 35 |
+
"learning_rate": 1.2e-05,
|
| 36 |
+
"loss": 70.0161,
|
| 37 |
+
"step": 30
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.01,
|
| 41 |
+
"grad_norm": 20.96339988708496,
|
| 42 |
+
"learning_rate": 1.7000000000000003e-05,
|
| 43 |
+
"loss": 66.9798,
|
| 44 |
+
"step": 40
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.01,
|
| 48 |
+
"grad_norm": 28.76253890991211,
|
| 49 |
+
"learning_rate": 2.15e-05,
|
| 50 |
+
"loss": 61.5471,
|
| 51 |
+
"step": 50
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.01,
|
| 55 |
+
"grad_norm": 34.237281799316406,
|
| 56 |
+
"learning_rate": 2.6500000000000004e-05,
|
| 57 |
+
"loss": 50.4159,
|
| 58 |
+
"step": 60
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.01,
|
| 62 |
+
"grad_norm": 37.09980773925781,
|
| 63 |
+
"learning_rate": 3.15e-05,
|
| 64 |
+
"loss": 30.1299,
|
| 65 |
+
"step": 70
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.01,
|
| 69 |
+
"grad_norm": 21.59116554260254,
|
| 70 |
+
"learning_rate": 3.65e-05,
|
| 71 |
+
"loss": 10.0018,
|
| 72 |
+
"step": 80
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.02,
|
| 76 |
+
"grad_norm": 4.791250705718994,
|
| 77 |
+
"learning_rate": 4.15e-05,
|
| 78 |
+
"loss": 1.4075,
|
| 79 |
+
"step": 90
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.02,
|
| 83 |
+
"grad_norm": 6.963352203369141,
|
| 84 |
+
"learning_rate": 4.6500000000000005e-05,
|
| 85 |
+
"loss": 0.6076,
|
| 86 |
+
"step": 100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.02,
|
| 90 |
+
"grad_norm": 8.645480155944824,
|
| 91 |
+
"learning_rate": 5.1500000000000005e-05,
|
| 92 |
+
"loss": 0.6529,
|
| 93 |
+
"step": 110
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.02,
|
| 97 |
+
"grad_norm": 10.286620140075684,
|
| 98 |
+
"learning_rate": 5.65e-05,
|
| 99 |
+
"loss": 0.606,
|
| 100 |
+
"step": 120
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.02,
|
| 104 |
+
"grad_norm": 4.937899589538574,
|
| 105 |
+
"learning_rate": 6.15e-05,
|
| 106 |
+
"loss": 0.6646,
|
| 107 |
+
"step": 130
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.03,
|
| 111 |
+
"grad_norm": 5.505192279815674,
|
| 112 |
+
"learning_rate": 6.65e-05,
|
| 113 |
+
"loss": 0.5808,
|
| 114 |
+
"step": 140
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.03,
|
| 118 |
+
"grad_norm": 2.3285677433013916,
|
| 119 |
+
"learning_rate": 7.15e-05,
|
| 120 |
+
"loss": 0.4994,
|
| 121 |
+
"step": 150
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.03,
|
| 125 |
+
"grad_norm": 1.4964683055877686,
|
| 126 |
+
"learning_rate": 7.65e-05,
|
| 127 |
+
"loss": 0.4659,
|
| 128 |
+
"step": 160
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.03,
|
| 132 |
+
"grad_norm": 6.808905124664307,
|
| 133 |
+
"learning_rate": 8.15e-05,
|
| 134 |
+
"loss": 0.4923,
|
| 135 |
+
"step": 170
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.03,
|
| 139 |
+
"grad_norm": 1.631983757019043,
|
| 140 |
+
"learning_rate": 8.65e-05,
|
| 141 |
+
"loss": 0.4065,
|
| 142 |
+
"step": 180
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.04,
|
| 146 |
+
"grad_norm": 4.93166971206665,
|
| 147 |
+
"learning_rate": 9.15e-05,
|
| 148 |
+
"loss": 0.4412,
|
| 149 |
+
"step": 190
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.04,
|
| 153 |
+
"grad_norm": 1.9249387979507446,
|
| 154 |
+
"learning_rate": 9.65e-05,
|
| 155 |
+
"loss": 0.3778,
|
| 156 |
+
"step": 200
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.04,
|
| 160 |
+
"grad_norm": 3.0214664936065674,
|
| 161 |
+
"learning_rate": 9.999444650129582e-05,
|
| 162 |
+
"loss": 0.3697,
|
| 163 |
+
"step": 210
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.04,
|
| 167 |
+
"grad_norm": 0.8178681135177612,
|
| 168 |
+
"learning_rate": 9.997593483894854e-05,
|
| 169 |
+
"loss": 0.3376,
|
| 170 |
+
"step": 220
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.04,
|
| 174 |
+
"grad_norm": 3.6914970874786377,
|
| 175 |
+
"learning_rate": 9.995742317660126e-05,
|
| 176 |
+
"loss": 0.3389,
|
| 177 |
+
"step": 230
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.04,
|
| 181 |
+
"grad_norm": 1.8259241580963135,
|
| 182 |
+
"learning_rate": 9.993891151425399e-05,
|
| 183 |
+
"loss": 0.3186,
|
| 184 |
+
"step": 240
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.05,
|
| 188 |
+
"grad_norm": 2.6828951835632324,
|
| 189 |
+
"learning_rate": 9.99203998519067e-05,
|
| 190 |
+
"loss": 0.3228,
|
| 191 |
+
"step": 250
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.05,
|
| 195 |
+
"grad_norm": 1.0691156387329102,
|
| 196 |
+
"learning_rate": 9.990188818955942e-05,
|
| 197 |
+
"loss": 0.3243,
|
| 198 |
+
"step": 260
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.05,
|
| 202 |
+
"grad_norm": 1.3478268384933472,
|
| 203 |
+
"learning_rate": 9.988337652721215e-05,
|
| 204 |
+
"loss": 0.3061,
|
| 205 |
+
"step": 270
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.05,
|
| 209 |
+
"grad_norm": 1.275899887084961,
|
| 210 |
+
"learning_rate": 9.986486486486487e-05,
|
| 211 |
+
"loss": 0.297,
|
| 212 |
+
"step": 280
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.05,
|
| 216 |
+
"grad_norm": 3.873141050338745,
|
| 217 |
+
"learning_rate": 9.98463532025176e-05,
|
| 218 |
+
"loss": 0.3115,
|
| 219 |
+
"step": 290
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.06,
|
| 223 |
+
"grad_norm": 0.8778353929519653,
|
| 224 |
+
"learning_rate": 9.98278415401703e-05,
|
| 225 |
+
"loss": 0.3045,
|
| 226 |
+
"step": 300
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.06,
|
| 230 |
+
"grad_norm": 2.3832242488861084,
|
| 231 |
+
"learning_rate": 9.980932987782303e-05,
|
| 232 |
+
"loss": 0.3058,
|
| 233 |
+
"step": 310
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.06,
|
| 237 |
+
"grad_norm": 0.6602181196212769,
|
| 238 |
+
"learning_rate": 9.979081821547575e-05,
|
| 239 |
+
"loss": 0.2714,
|
| 240 |
+
"step": 320
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.06,
|
| 244 |
+
"grad_norm": 0.796381950378418,
|
| 245 |
+
"learning_rate": 9.977230655312848e-05,
|
| 246 |
+
"loss": 0.2911,
|
| 247 |
+
"step": 330
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.06,
|
| 251 |
+
"grad_norm": 1.6985359191894531,
|
| 252 |
+
"learning_rate": 9.97537948907812e-05,
|
| 253 |
+
"loss": 0.2827,
|
| 254 |
+
"step": 340
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.06,
|
| 258 |
+
"grad_norm": 0.9519887566566467,
|
| 259 |
+
"learning_rate": 9.973528322843392e-05,
|
| 260 |
+
"loss": 0.2828,
|
| 261 |
+
"step": 350
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.07,
|
| 265 |
+
"grad_norm": 0.771391749382019,
|
| 266 |
+
"learning_rate": 9.971677156608665e-05,
|
| 267 |
+
"loss": 0.274,
|
| 268 |
+
"step": 360
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.07,
|
| 272 |
+
"grad_norm": 1.5956106185913086,
|
| 273 |
+
"learning_rate": 9.969825990373937e-05,
|
| 274 |
+
"loss": 0.2509,
|
| 275 |
+
"step": 370
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.07,
|
| 279 |
+
"grad_norm": 0.8278146982192993,
|
| 280 |
+
"learning_rate": 9.967974824139208e-05,
|
| 281 |
+
"loss": 0.2644,
|
| 282 |
+
"step": 380
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.07,
|
| 286 |
+
"grad_norm": 3.159097671508789,
|
| 287 |
+
"learning_rate": 9.96612365790448e-05,
|
| 288 |
+
"loss": 0.2855,
|
| 289 |
+
"step": 390
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.07,
|
| 293 |
+
"grad_norm": 2.152933120727539,
|
| 294 |
+
"learning_rate": 9.964272491669753e-05,
|
| 295 |
+
"loss": 0.2755,
|
| 296 |
+
"step": 400
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.08,
|
| 300 |
+
"grad_norm": 1.9050334692001343,
|
| 301 |
+
"learning_rate": 9.962421325435023e-05,
|
| 302 |
+
"loss": 0.2837,
|
| 303 |
+
"step": 410
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.08,
|
| 307 |
+
"grad_norm": 1.3858613967895508,
|
| 308 |
+
"learning_rate": 9.960570159200297e-05,
|
| 309 |
+
"loss": 0.2584,
|
| 310 |
+
"step": 420
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.08,
|
| 314 |
+
"grad_norm": 0.629534125328064,
|
| 315 |
+
"learning_rate": 9.958718992965568e-05,
|
| 316 |
+
"loss": 0.2432,
|
| 317 |
+
"step": 430
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.08,
|
| 321 |
+
"grad_norm": 0.7582938075065613,
|
| 322 |
+
"learning_rate": 9.956867826730841e-05,
|
| 323 |
+
"loss": 0.242,
|
| 324 |
+
"step": 440
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.08,
|
| 328 |
+
"grad_norm": 0.5532256364822388,
|
| 329 |
+
"learning_rate": 9.955016660496113e-05,
|
| 330 |
+
"loss": 0.2828,
|
| 331 |
+
"step": 450
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.08,
|
| 335 |
+
"grad_norm": 0.8100008964538574,
|
| 336 |
+
"learning_rate": 9.953165494261385e-05,
|
| 337 |
+
"loss": 0.2391,
|
| 338 |
+
"step": 460
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.09,
|
| 342 |
+
"grad_norm": 1.3843342065811157,
|
| 343 |
+
"learning_rate": 9.951314328026658e-05,
|
| 344 |
+
"loss": 0.2513,
|
| 345 |
+
"step": 470
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.09,
|
| 349 |
+
"grad_norm": 2.4204509258270264,
|
| 350 |
+
"learning_rate": 9.94946316179193e-05,
|
| 351 |
+
"loss": 0.2378,
|
| 352 |
+
"step": 480
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.09,
|
| 356 |
+
"grad_norm": 1.645175576210022,
|
| 357 |
+
"learning_rate": 9.947611995557201e-05,
|
| 358 |
+
"loss": 0.2704,
|
| 359 |
+
"step": 490
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.09,
|
| 363 |
+
"grad_norm": 2.546315908432007,
|
| 364 |
+
"learning_rate": 9.945760829322473e-05,
|
| 365 |
+
"loss": 0.2762,
|
| 366 |
+
"step": 500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.09,
|
| 370 |
+
"grad_norm": 3.5709307193756104,
|
| 371 |
+
"learning_rate": 9.943909663087746e-05,
|
| 372 |
+
"loss": 0.2753,
|
| 373 |
+
"step": 510
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.1,
|
| 377 |
+
"grad_norm": 0.6997337341308594,
|
| 378 |
+
"learning_rate": 9.942058496853018e-05,
|
| 379 |
+
"loss": 0.2637,
|
| 380 |
+
"step": 520
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.1,
|
| 384 |
+
"grad_norm": 0.6340448260307312,
|
| 385 |
+
"learning_rate": 9.94020733061829e-05,
|
| 386 |
+
"loss": 0.2447,
|
| 387 |
+
"step": 530
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.1,
|
| 391 |
+
"grad_norm": 1.1261272430419922,
|
| 392 |
+
"learning_rate": 9.938356164383563e-05,
|
| 393 |
+
"loss": 0.2345,
|
| 394 |
+
"step": 540
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.1,
|
| 398 |
+
"grad_norm": 0.7460525631904602,
|
| 399 |
+
"learning_rate": 9.936504998148834e-05,
|
| 400 |
+
"loss": 0.2356,
|
| 401 |
+
"step": 550
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.1,
|
| 405 |
+
"grad_norm": 0.7596022486686707,
|
| 406 |
+
"learning_rate": 9.934653831914106e-05,
|
| 407 |
+
"loss": 0.2497,
|
| 408 |
+
"step": 560
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.11,
|
| 412 |
+
"grad_norm": 0.7767930030822754,
|
| 413 |
+
"learning_rate": 9.932802665679378e-05,
|
| 414 |
+
"loss": 0.2332,
|
| 415 |
+
"step": 570
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.11,
|
| 419 |
+
"grad_norm": 0.36362847685813904,
|
| 420 |
+
"learning_rate": 9.930951499444651e-05,
|
| 421 |
+
"loss": 0.234,
|
| 422 |
+
"step": 580
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.11,
|
| 426 |
+
"grad_norm": 1.1732509136199951,
|
| 427 |
+
"learning_rate": 9.929100333209923e-05,
|
| 428 |
+
"loss": 0.2281,
|
| 429 |
+
"step": 590
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.11,
|
| 433 |
+
"grad_norm": 0.9395415782928467,
|
| 434 |
+
"learning_rate": 9.927249166975194e-05,
|
| 435 |
+
"loss": 0.2262,
|
| 436 |
+
"step": 600
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.11,
|
| 440 |
+
"grad_norm": 1.7397685050964355,
|
| 441 |
+
"learning_rate": 9.925398000740466e-05,
|
| 442 |
+
"loss": 0.2375,
|
| 443 |
+
"step": 610
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.11,
|
| 447 |
+
"grad_norm": 1.398878812789917,
|
| 448 |
+
"learning_rate": 9.923546834505739e-05,
|
| 449 |
+
"loss": 0.2408,
|
| 450 |
+
"step": 620
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.12,
|
| 454 |
+
"grad_norm": 1.213331937789917,
|
| 455 |
+
"learning_rate": 9.921695668271012e-05,
|
| 456 |
+
"loss": 0.2402,
|
| 457 |
+
"step": 630
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.12,
|
| 461 |
+
"grad_norm": 0.7745940685272217,
|
| 462 |
+
"learning_rate": 9.919844502036283e-05,
|
| 463 |
+
"loss": 0.259,
|
| 464 |
+
"step": 640
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.12,
|
| 468 |
+
"grad_norm": 0.9329665303230286,
|
| 469 |
+
"learning_rate": 9.917993335801556e-05,
|
| 470 |
+
"loss": 0.2457,
|
| 471 |
+
"step": 650
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.12,
|
| 475 |
+
"grad_norm": 0.9290269613265991,
|
| 476 |
+
"learning_rate": 9.916142169566827e-05,
|
| 477 |
+
"loss": 0.2236,
|
| 478 |
+
"step": 660
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.12,
|
| 482 |
+
"grad_norm": 1.089816689491272,
|
| 483 |
+
"learning_rate": 9.9142910033321e-05,
|
| 484 |
+
"loss": 0.2437,
|
| 485 |
+
"step": 670
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.13,
|
| 489 |
+
"grad_norm": 0.6095532178878784,
|
| 490 |
+
"learning_rate": 9.912439837097371e-05,
|
| 491 |
+
"loss": 0.2295,
|
| 492 |
+
"step": 680
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.13,
|
| 496 |
+
"grad_norm": 0.6958633065223694,
|
| 497 |
+
"learning_rate": 9.910588670862644e-05,
|
| 498 |
+
"loss": 0.231,
|
| 499 |
+
"step": 690
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.13,
|
| 503 |
+
"grad_norm": 0.5149015784263611,
|
| 504 |
+
"learning_rate": 9.908737504627916e-05,
|
| 505 |
+
"loss": 0.2567,
|
| 506 |
+
"step": 700
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.13,
|
| 510 |
+
"grad_norm": 0.9667665362358093,
|
| 511 |
+
"learning_rate": 9.906886338393189e-05,
|
| 512 |
+
"loss": 0.2324,
|
| 513 |
+
"step": 710
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.13,
|
| 517 |
+
"grad_norm": 0.8621126413345337,
|
| 518 |
+
"learning_rate": 9.90503517215846e-05,
|
| 519 |
+
"loss": 0.2349,
|
| 520 |
+
"step": 720
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.13,
|
| 524 |
+
"grad_norm": 0.7839102149009705,
|
| 525 |
+
"learning_rate": 9.903184005923732e-05,
|
| 526 |
+
"loss": 0.2395,
|
| 527 |
+
"step": 730
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.14,
|
| 531 |
+
"grad_norm": 0.9927177429199219,
|
| 532 |
+
"learning_rate": 9.901332839689005e-05,
|
| 533 |
+
"loss": 0.2253,
|
| 534 |
+
"step": 740
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.14,
|
| 538 |
+
"grad_norm": 1.7064800262451172,
|
| 539 |
+
"learning_rate": 9.899481673454276e-05,
|
| 540 |
+
"loss": 0.2178,
|
| 541 |
+
"step": 750
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.14,
|
| 545 |
+
"grad_norm": 1.4743956327438354,
|
| 546 |
+
"learning_rate": 9.897630507219549e-05,
|
| 547 |
+
"loss": 0.2186,
|
| 548 |
+
"step": 760
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.14,
|
| 552 |
+
"grad_norm": 1.73115873336792,
|
| 553 |
+
"learning_rate": 9.89577934098482e-05,
|
| 554 |
+
"loss": 0.2406,
|
| 555 |
+
"step": 770
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.14,
|
| 559 |
+
"grad_norm": 0.5700548887252808,
|
| 560 |
+
"learning_rate": 9.893928174750094e-05,
|
| 561 |
+
"loss": 0.2368,
|
| 562 |
+
"step": 780
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.15,
|
| 566 |
+
"grad_norm": 0.7140907049179077,
|
| 567 |
+
"learning_rate": 9.892077008515365e-05,
|
| 568 |
+
"loss": 0.2303,
|
| 569 |
+
"step": 790
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.15,
|
| 573 |
+
"grad_norm": 1.316851019859314,
|
| 574 |
+
"learning_rate": 9.890225842280637e-05,
|
| 575 |
+
"loss": 0.2271,
|
| 576 |
+
"step": 800
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.15,
|
| 580 |
+
"grad_norm": 1.3242087364196777,
|
| 581 |
+
"learning_rate": 9.88837467604591e-05,
|
| 582 |
+
"loss": 0.2213,
|
| 583 |
+
"step": 810
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.15,
|
| 587 |
+
"grad_norm": 0.3230711817741394,
|
| 588 |
+
"learning_rate": 9.886523509811182e-05,
|
| 589 |
+
"loss": 0.2366,
|
| 590 |
+
"step": 820
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.15,
|
| 594 |
+
"grad_norm": 1.613010287284851,
|
| 595 |
+
"learning_rate": 9.884672343576454e-05,
|
| 596 |
+
"loss": 0.2172,
|
| 597 |
+
"step": 830
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.15,
|
| 601 |
+
"grad_norm": 2.3217711448669434,
|
| 602 |
+
"learning_rate": 9.882821177341725e-05,
|
| 603 |
+
"loss": 0.2401,
|
| 604 |
+
"step": 840
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.16,
|
| 608 |
+
"grad_norm": 0.38820984959602356,
|
| 609 |
+
"learning_rate": 9.880970011106998e-05,
|
| 610 |
+
"loss": 0.2376,
|
| 611 |
+
"step": 850
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.16,
|
| 615 |
+
"grad_norm": 0.5649935007095337,
|
| 616 |
+
"learning_rate": 9.87911884487227e-05,
|
| 617 |
+
"loss": 0.2335,
|
| 618 |
+
"step": 860
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.16,
|
| 622 |
+
"grad_norm": 0.5969343781471252,
|
| 623 |
+
"learning_rate": 9.877267678637542e-05,
|
| 624 |
+
"loss": 0.228,
|
| 625 |
+
"step": 870
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.16,
|
| 629 |
+
"grad_norm": 1.4941283464431763,
|
| 630 |
+
"learning_rate": 9.875416512402814e-05,
|
| 631 |
+
"loss": 0.2388,
|
| 632 |
+
"step": 880
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.16,
|
| 636 |
+
"grad_norm": 0.7500633597373962,
|
| 637 |
+
"learning_rate": 9.873565346168087e-05,
|
| 638 |
+
"loss": 0.2203,
|
| 639 |
+
"step": 890
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.17,
|
| 643 |
+
"grad_norm": 0.6874450445175171,
|
| 644 |
+
"learning_rate": 9.871714179933358e-05,
|
| 645 |
+
"loss": 0.2397,
|
| 646 |
+
"step": 900
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.17,
|
| 650 |
+
"grad_norm": 1.4555752277374268,
|
| 651 |
+
"learning_rate": 9.86986301369863e-05,
|
| 652 |
+
"loss": 0.2418,
|
| 653 |
+
"step": 910
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.17,
|
| 657 |
+
"grad_norm": 1.051475167274475,
|
| 658 |
+
"learning_rate": 9.868011847463903e-05,
|
| 659 |
+
"loss": 0.2411,
|
| 660 |
+
"step": 920
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.17,
|
| 664 |
+
"grad_norm": 1.377054214477539,
|
| 665 |
+
"learning_rate": 9.866160681229175e-05,
|
| 666 |
+
"loss": 0.2312,
|
| 667 |
+
"step": 930
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.17,
|
| 671 |
+
"grad_norm": 0.4420924186706543,
|
| 672 |
+
"learning_rate": 9.864309514994447e-05,
|
| 673 |
+
"loss": 0.2179,
|
| 674 |
+
"step": 940
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.18,
|
| 678 |
+
"grad_norm": 1.9395197629928589,
|
| 679 |
+
"learning_rate": 9.862458348759718e-05,
|
| 680 |
+
"loss": 0.2286,
|
| 681 |
+
"step": 950
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.18,
|
| 685 |
+
"grad_norm": 0.31522631645202637,
|
| 686 |
+
"learning_rate": 9.860607182524991e-05,
|
| 687 |
+
"loss": 0.2267,
|
| 688 |
+
"step": 960
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.18,
|
| 692 |
+
"grad_norm": 0.4355124831199646,
|
| 693 |
+
"learning_rate": 9.858756016290263e-05,
|
| 694 |
+
"loss": 0.228,
|
| 695 |
+
"step": 970
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.18,
|
| 699 |
+
"grad_norm": 0.5540971159934998,
|
| 700 |
+
"learning_rate": 9.856904850055535e-05,
|
| 701 |
+
"loss": 0.2202,
|
| 702 |
+
"step": 980
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.18,
|
| 706 |
+
"grad_norm": 0.43327707052230835,
|
| 707 |
+
"learning_rate": 9.855053683820808e-05,
|
| 708 |
+
"loss": 0.2316,
|
| 709 |
+
"step": 990
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.18,
|
| 713 |
+
"grad_norm": 1.765080451965332,
|
| 714 |
+
"learning_rate": 9.85320251758608e-05,
|
| 715 |
+
"loss": 0.2302,
|
| 716 |
+
"step": 1000
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.19,
|
| 720 |
+
"grad_norm": 0.822860598564148,
|
| 721 |
+
"learning_rate": 9.851351351351353e-05,
|
| 722 |
+
"loss": 0.2213,
|
| 723 |
+
"step": 1010
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.19,
|
| 727 |
+
"grad_norm": 0.31268832087516785,
|
| 728 |
+
"learning_rate": 9.849500185116623e-05,
|
| 729 |
+
"loss": 0.2065,
|
| 730 |
+
"step": 1020
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.19,
|
| 734 |
+
"grad_norm": 1.3371509313583374,
|
| 735 |
+
"learning_rate": 9.847649018881896e-05,
|
| 736 |
+
"loss": 0.2261,
|
| 737 |
+
"step": 1030
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.19,
|
| 741 |
+
"grad_norm": 0.3734799325466156,
|
| 742 |
+
"learning_rate": 9.845797852647168e-05,
|
| 743 |
+
"loss": 0.2228,
|
| 744 |
+
"step": 1040
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.19,
|
| 748 |
+
"grad_norm": 0.45795735716819763,
|
| 749 |
+
"learning_rate": 9.843946686412441e-05,
|
| 750 |
+
"loss": 0.223,
|
| 751 |
+
"step": 1050
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.2,
|
| 755 |
+
"grad_norm": 0.4650135040283203,
|
| 756 |
+
"learning_rate": 9.842095520177711e-05,
|
| 757 |
+
"loss": 0.2301,
|
| 758 |
+
"step": 1060
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.2,
|
| 762 |
+
"grad_norm": 1.4706295728683472,
|
| 763 |
+
"learning_rate": 9.840244353942985e-05,
|
| 764 |
+
"loss": 0.2222,
|
| 765 |
+
"step": 1070
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.2,
|
| 769 |
+
"grad_norm": 0.3891691565513611,
|
| 770 |
+
"learning_rate": 9.838393187708256e-05,
|
| 771 |
+
"loss": 0.2103,
|
| 772 |
+
"step": 1080
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.2,
|
| 776 |
+
"grad_norm": 1.0710134506225586,
|
| 777 |
+
"learning_rate": 9.836542021473529e-05,
|
| 778 |
+
"loss": 0.2242,
|
| 779 |
+
"step": 1090
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.2,
|
| 783 |
+
"grad_norm": 0.9032573699951172,
|
| 784 |
+
"learning_rate": 9.834690855238801e-05,
|
| 785 |
+
"loss": 0.2124,
|
| 786 |
+
"step": 1100
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.2,
|
| 790 |
+
"grad_norm": 2.119032859802246,
|
| 791 |
+
"learning_rate": 9.832839689004073e-05,
|
| 792 |
+
"loss": 0.2289,
|
| 793 |
+
"step": 1110
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.21,
|
| 797 |
+
"grad_norm": 0.8338161110877991,
|
| 798 |
+
"learning_rate": 9.830988522769346e-05,
|
| 799 |
+
"loss": 0.2167,
|
| 800 |
+
"step": 1120
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.21,
|
| 804 |
+
"grad_norm": 2.242032527923584,
|
| 805 |
+
"learning_rate": 9.829137356534616e-05,
|
| 806 |
+
"loss": 0.2225,
|
| 807 |
+
"step": 1130
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.21,
|
| 811 |
+
"grad_norm": 0.4238918125629425,
|
| 812 |
+
"learning_rate": 9.827286190299889e-05,
|
| 813 |
+
"loss": 0.2205,
|
| 814 |
+
"step": 1140
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.21,
|
| 818 |
+
"grad_norm": 0.5318244099617004,
|
| 819 |
+
"learning_rate": 9.825435024065161e-05,
|
| 820 |
+
"loss": 0.222,
|
| 821 |
+
"step": 1150
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.21,
|
| 825 |
+
"grad_norm": 0.75505131483078,
|
| 826 |
+
"learning_rate": 9.823583857830434e-05,
|
| 827 |
+
"loss": 0.2311,
|
| 828 |
+
"step": 1160
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.22,
|
| 832 |
+
"grad_norm": 1.4188501834869385,
|
| 833 |
+
"learning_rate": 9.821732691595706e-05,
|
| 834 |
+
"loss": 0.2149,
|
| 835 |
+
"step": 1170
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.22,
|
| 839 |
+
"grad_norm": 0.6075870990753174,
|
| 840 |
+
"learning_rate": 9.819881525360978e-05,
|
| 841 |
+
"loss": 0.2233,
|
| 842 |
+
"step": 1180
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.22,
|
| 846 |
+
"grad_norm": 1.4305758476257324,
|
| 847 |
+
"learning_rate": 9.81803035912625e-05,
|
| 848 |
+
"loss": 0.2238,
|
| 849 |
+
"step": 1190
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.22,
|
| 853 |
+
"grad_norm": 0.5145848989486694,
|
| 854 |
+
"learning_rate": 9.816179192891522e-05,
|
| 855 |
+
"loss": 0.2217,
|
| 856 |
+
"step": 1200
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.22,
|
| 860 |
+
"grad_norm": 0.7991466522216797,
|
| 861 |
+
"learning_rate": 9.814328026656794e-05,
|
| 862 |
+
"loss": 0.2118,
|
| 863 |
+
"step": 1210
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.22,
|
| 867 |
+
"grad_norm": 1.0274105072021484,
|
| 868 |
+
"learning_rate": 9.812476860422066e-05,
|
| 869 |
+
"loss": 0.2178,
|
| 870 |
+
"step": 1220
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.23,
|
| 874 |
+
"grad_norm": 0.4420272409915924,
|
| 875 |
+
"learning_rate": 9.810625694187339e-05,
|
| 876 |
+
"loss": 0.219,
|
| 877 |
+
"step": 1230
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.23,
|
| 881 |
+
"grad_norm": 0.5142613053321838,
|
| 882 |
+
"learning_rate": 9.80877452795261e-05,
|
| 883 |
+
"loss": 0.2123,
|
| 884 |
+
"step": 1240
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.23,
|
| 888 |
+
"grad_norm": 0.32571473717689514,
|
| 889 |
+
"learning_rate": 9.806923361717882e-05,
|
| 890 |
+
"loss": 0.2115,
|
| 891 |
+
"step": 1250
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.23,
|
| 895 |
+
"grad_norm": 0.3837771713733673,
|
| 896 |
+
"learning_rate": 9.805072195483155e-05,
|
| 897 |
+
"loss": 0.1992,
|
| 898 |
+
"step": 1260
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.23,
|
| 902 |
+
"grad_norm": 1.0336960554122925,
|
| 903 |
+
"learning_rate": 9.803221029248427e-05,
|
| 904 |
+
"loss": 0.2109,
|
| 905 |
+
"step": 1270
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.24,
|
| 909 |
+
"grad_norm": 1.2124392986297607,
|
| 910 |
+
"learning_rate": 9.8013698630137e-05,
|
| 911 |
+
"loss": 0.2422,
|
| 912 |
+
"step": 1280
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.24,
|
| 916 |
+
"grad_norm": 1.8734978437423706,
|
| 917 |
+
"learning_rate": 9.79951869677897e-05,
|
| 918 |
+
"loss": 0.2264,
|
| 919 |
+
"step": 1290
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.24,
|
| 923 |
+
"grad_norm": 0.44908058643341064,
|
| 924 |
+
"learning_rate": 9.797667530544244e-05,
|
| 925 |
+
"loss": 0.2123,
|
| 926 |
+
"step": 1300
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.24,
|
| 930 |
+
"grad_norm": 0.4297716021537781,
|
| 931 |
+
"learning_rate": 9.795816364309515e-05,
|
| 932 |
+
"loss": 0.2249,
|
| 933 |
+
"step": 1310
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.24,
|
| 937 |
+
"grad_norm": 1.1651443243026733,
|
| 938 |
+
"learning_rate": 9.793965198074787e-05,
|
| 939 |
+
"loss": 0.2222,
|
| 940 |
+
"step": 1320
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.25,
|
| 944 |
+
"grad_norm": 0.3527076542377472,
|
| 945 |
+
"learning_rate": 9.792114031840059e-05,
|
| 946 |
+
"loss": 0.2206,
|
| 947 |
+
"step": 1330
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.25,
|
| 951 |
+
"grad_norm": 0.29916948080062866,
|
| 952 |
+
"learning_rate": 9.790262865605332e-05,
|
| 953 |
+
"loss": 0.2209,
|
| 954 |
+
"step": 1340
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.25,
|
| 958 |
+
"grad_norm": 0.24127215147018433,
|
| 959 |
+
"learning_rate": 9.788411699370604e-05,
|
| 960 |
+
"loss": 0.2167,
|
| 961 |
+
"step": 1350
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.25,
|
| 965 |
+
"grad_norm": 0.4984634220600128,
|
| 966 |
+
"learning_rate": 9.786560533135875e-05,
|
| 967 |
+
"loss": 0.2493,
|
| 968 |
+
"step": 1360
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.25,
|
| 972 |
+
"grad_norm": 0.36658474802970886,
|
| 973 |
+
"learning_rate": 9.784709366901149e-05,
|
| 974 |
+
"loss": 0.2203,
|
| 975 |
+
"step": 1370
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.25,
|
| 979 |
+
"grad_norm": 1.2130411863327026,
|
| 980 |
+
"learning_rate": 9.78285820066642e-05,
|
| 981 |
+
"loss": 0.2142,
|
| 982 |
+
"step": 1380
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.26,
|
| 986 |
+
"grad_norm": 1.1353245973587036,
|
| 987 |
+
"learning_rate": 9.781007034431693e-05,
|
| 988 |
+
"loss": 0.2157,
|
| 989 |
+
"step": 1390
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.26,
|
| 993 |
+
"grad_norm": 0.41700485348701477,
|
| 994 |
+
"learning_rate": 9.779155868196964e-05,
|
| 995 |
+
"loss": 0.2141,
|
| 996 |
+
"step": 1400
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.26,
|
| 1000 |
+
"grad_norm": 1.722000002861023,
|
| 1001 |
+
"learning_rate": 9.777304701962237e-05,
|
| 1002 |
+
"loss": 0.2137,
|
| 1003 |
+
"step": 1410
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.26,
|
| 1007 |
+
"grad_norm": 0.7909780144691467,
|
| 1008 |
+
"learning_rate": 9.775453535727508e-05,
|
| 1009 |
+
"loss": 0.2136,
|
| 1010 |
+
"step": 1420
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.26,
|
| 1014 |
+
"grad_norm": 1.2209943532943726,
|
| 1015 |
+
"learning_rate": 9.773602369492782e-05,
|
| 1016 |
+
"loss": 0.2075,
|
| 1017 |
+
"step": 1430
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.27,
|
| 1021 |
+
"grad_norm": 0.9682492613792419,
|
| 1022 |
+
"learning_rate": 9.771751203258053e-05,
|
| 1023 |
+
"loss": 0.2206,
|
| 1024 |
+
"step": 1440
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.27,
|
| 1028 |
+
"grad_norm": 0.36788633465766907,
|
| 1029 |
+
"learning_rate": 9.769900037023325e-05,
|
| 1030 |
+
"loss": 0.2204,
|
| 1031 |
+
"step": 1450
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.27,
|
| 1035 |
+
"grad_norm": 1.2191195487976074,
|
| 1036 |
+
"learning_rate": 9.768048870788598e-05,
|
| 1037 |
+
"loss": 0.2103,
|
| 1038 |
+
"step": 1460
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.27,
|
| 1042 |
+
"grad_norm": 0.6930559277534485,
|
| 1043 |
+
"learning_rate": 9.76619770455387e-05,
|
| 1044 |
+
"loss": 0.2157,
|
| 1045 |
+
"step": 1470
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.27,
|
| 1049 |
+
"grad_norm": 1.2961112260818481,
|
| 1050 |
+
"learning_rate": 9.764346538319142e-05,
|
| 1051 |
+
"loss": 0.2244,
|
| 1052 |
+
"step": 1480
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.27,
|
| 1056 |
+
"grad_norm": 0.7222216725349426,
|
| 1057 |
+
"learning_rate": 9.762495372084413e-05,
|
| 1058 |
+
"loss": 0.2161,
|
| 1059 |
+
"step": 1490
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.28,
|
| 1063 |
+
"grad_norm": 0.9623996615409851,
|
| 1064 |
+
"learning_rate": 9.760644205849686e-05,
|
| 1065 |
+
"loss": 0.212,
|
| 1066 |
+
"step": 1500
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.28,
|
| 1070 |
+
"grad_norm": 3.655571937561035,
|
| 1071 |
+
"learning_rate": 9.758793039614957e-05,
|
| 1072 |
+
"loss": 0.2302,
|
| 1073 |
+
"step": 1510
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.28,
|
| 1077 |
+
"grad_norm": 0.7312277555465698,
|
| 1078 |
+
"learning_rate": 9.75694187338023e-05,
|
| 1079 |
+
"loss": 0.22,
|
| 1080 |
+
"step": 1520
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.28,
|
| 1084 |
+
"grad_norm": 2.0226645469665527,
|
| 1085 |
+
"learning_rate": 9.755090707145502e-05,
|
| 1086 |
+
"loss": 0.2269,
|
| 1087 |
+
"step": 1530
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.28,
|
| 1091 |
+
"grad_norm": 0.3837519884109497,
|
| 1092 |
+
"learning_rate": 9.753239540910775e-05,
|
| 1093 |
+
"loss": 0.2106,
|
| 1094 |
+
"step": 1540
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.29,
|
| 1098 |
+
"grad_norm": 0.6145792007446289,
|
| 1099 |
+
"learning_rate": 9.751388374676046e-05,
|
| 1100 |
+
"loss": 0.2204,
|
| 1101 |
+
"step": 1550
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.29,
|
| 1105 |
+
"grad_norm": 1.6149736642837524,
|
| 1106 |
+
"learning_rate": 9.749537208441318e-05,
|
| 1107 |
+
"loss": 0.218,
|
| 1108 |
+
"step": 1560
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.29,
|
| 1112 |
+
"grad_norm": 1.113775610923767,
|
| 1113 |
+
"learning_rate": 9.747686042206591e-05,
|
| 1114 |
+
"loss": 0.2194,
|
| 1115 |
+
"step": 1570
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.29,
|
| 1119 |
+
"grad_norm": 0.2693588137626648,
|
| 1120 |
+
"learning_rate": 9.745834875971863e-05,
|
| 1121 |
+
"loss": 0.2089,
|
| 1122 |
+
"step": 1580
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.29,
|
| 1126 |
+
"grad_norm": 0.5227116346359253,
|
| 1127 |
+
"learning_rate": 9.743983709737135e-05,
|
| 1128 |
+
"loss": 0.2092,
|
| 1129 |
+
"step": 1590
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.3,
|
| 1133 |
+
"grad_norm": 0.43677178025245667,
|
| 1134 |
+
"learning_rate": 9.742132543502406e-05,
|
| 1135 |
+
"loss": 0.2061,
|
| 1136 |
+
"step": 1600
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.3,
|
| 1140 |
+
"grad_norm": 0.8750597834587097,
|
| 1141 |
+
"learning_rate": 9.74028137726768e-05,
|
| 1142 |
+
"loss": 0.2137,
|
| 1143 |
+
"step": 1610
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.3,
|
| 1147 |
+
"grad_norm": 0.8018006086349487,
|
| 1148 |
+
"learning_rate": 9.738430211032951e-05,
|
| 1149 |
+
"loss": 0.2194,
|
| 1150 |
+
"step": 1620
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.3,
|
| 1154 |
+
"grad_norm": 0.531554639339447,
|
| 1155 |
+
"learning_rate": 9.736579044798223e-05,
|
| 1156 |
+
"loss": 0.2077,
|
| 1157 |
+
"step": 1630
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.3,
|
| 1161 |
+
"grad_norm": 0.5439698696136475,
|
| 1162 |
+
"learning_rate": 9.734727878563496e-05,
|
| 1163 |
+
"loss": 0.2153,
|
| 1164 |
+
"step": 1640
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.3,
|
| 1168 |
+
"grad_norm": 1.296250343322754,
|
| 1169 |
+
"learning_rate": 9.732876712328768e-05,
|
| 1170 |
+
"loss": 0.1968,
|
| 1171 |
+
"step": 1650
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.31,
|
| 1175 |
+
"grad_norm": 0.4914539158344269,
|
| 1176 |
+
"learning_rate": 9.73102554609404e-05,
|
| 1177 |
+
"loss": 0.2164,
|
| 1178 |
+
"step": 1660
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.31,
|
| 1182 |
+
"grad_norm": 0.35670381784439087,
|
| 1183 |
+
"learning_rate": 9.729174379859311e-05,
|
| 1184 |
+
"loss": 0.2132,
|
| 1185 |
+
"step": 1670
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.31,
|
| 1189 |
+
"grad_norm": 1.6645960807800293,
|
| 1190 |
+
"learning_rate": 9.727323213624584e-05,
|
| 1191 |
+
"loss": 0.2233,
|
| 1192 |
+
"step": 1680
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.31,
|
| 1196 |
+
"grad_norm": 0.7455287575721741,
|
| 1197 |
+
"learning_rate": 9.725472047389856e-05,
|
| 1198 |
+
"loss": 0.2023,
|
| 1199 |
+
"step": 1690
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.31,
|
| 1203 |
+
"grad_norm": 0.36129245162010193,
|
| 1204 |
+
"learning_rate": 9.723620881155128e-05,
|
| 1205 |
+
"loss": 0.2219,
|
| 1206 |
+
"step": 1700
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.32,
|
| 1210 |
+
"grad_norm": 0.36295002698898315,
|
| 1211 |
+
"learning_rate": 9.721769714920401e-05,
|
| 1212 |
+
"loss": 0.2138,
|
| 1213 |
+
"step": 1710
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.32,
|
| 1217 |
+
"grad_norm": 0.34044042229652405,
|
| 1218 |
+
"learning_rate": 9.719918548685672e-05,
|
| 1219 |
+
"loss": 0.2122,
|
| 1220 |
+
"step": 1720
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.32,
|
| 1224 |
+
"grad_norm": 0.8785526156425476,
|
| 1225 |
+
"learning_rate": 9.718067382450946e-05,
|
| 1226 |
+
"loss": 0.2096,
|
| 1227 |
+
"step": 1730
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.32,
|
| 1231 |
+
"grad_norm": 0.3848158121109009,
|
| 1232 |
+
"learning_rate": 9.716216216216216e-05,
|
| 1233 |
+
"loss": 0.2172,
|
| 1234 |
+
"step": 1740
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.32,
|
| 1238 |
+
"grad_norm": 0.8510532975196838,
|
| 1239 |
+
"learning_rate": 9.714365049981489e-05,
|
| 1240 |
+
"loss": 0.2094,
|
| 1241 |
+
"step": 1750
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.32,
|
| 1245 |
+
"grad_norm": 1.8068777322769165,
|
| 1246 |
+
"learning_rate": 9.712513883746761e-05,
|
| 1247 |
+
"loss": 0.2156,
|
| 1248 |
+
"step": 1760
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.33,
|
| 1252 |
+
"grad_norm": 0.7489349246025085,
|
| 1253 |
+
"learning_rate": 9.710662717512034e-05,
|
| 1254 |
+
"loss": 0.2066,
|
| 1255 |
+
"step": 1770
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.33,
|
| 1259 |
+
"grad_norm": 0.5769368410110474,
|
| 1260 |
+
"learning_rate": 9.708811551277304e-05,
|
| 1261 |
+
"loss": 0.2133,
|
| 1262 |
+
"step": 1780
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.33,
|
| 1266 |
+
"grad_norm": 1.6159785985946655,
|
| 1267 |
+
"learning_rate": 9.706960385042577e-05,
|
| 1268 |
+
"loss": 0.2083,
|
| 1269 |
+
"step": 1790
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.33,
|
| 1273 |
+
"grad_norm": 1.0204073190689087,
|
| 1274 |
+
"learning_rate": 9.705109218807849e-05,
|
| 1275 |
+
"loss": 0.213,
|
| 1276 |
+
"step": 1800
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.33,
|
| 1280 |
+
"grad_norm": 0.4422318637371063,
|
| 1281 |
+
"learning_rate": 9.703258052573122e-05,
|
| 1282 |
+
"loss": 0.1996,
|
| 1283 |
+
"step": 1810
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.34,
|
| 1287 |
+
"grad_norm": 0.9518413543701172,
|
| 1288 |
+
"learning_rate": 9.701406886338394e-05,
|
| 1289 |
+
"loss": 0.218,
|
| 1290 |
+
"step": 1820
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.34,
|
| 1294 |
+
"grad_norm": 2.2408201694488525,
|
| 1295 |
+
"learning_rate": 9.699555720103666e-05,
|
| 1296 |
+
"loss": 0.2189,
|
| 1297 |
+
"step": 1830
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.34,
|
| 1301 |
+
"grad_norm": 2.9319238662719727,
|
| 1302 |
+
"learning_rate": 9.697704553868939e-05,
|
| 1303 |
+
"loss": 0.2144,
|
| 1304 |
+
"step": 1840
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.34,
|
| 1308 |
+
"grad_norm": 0.5640377998352051,
|
| 1309 |
+
"learning_rate": 9.695853387634209e-05,
|
| 1310 |
+
"loss": 0.2184,
|
| 1311 |
+
"step": 1850
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.34,
|
| 1315 |
+
"grad_norm": 0.26673319935798645,
|
| 1316 |
+
"learning_rate": 9.694002221399482e-05,
|
| 1317 |
+
"loss": 0.2161,
|
| 1318 |
+
"step": 1860
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.34,
|
| 1322 |
+
"grad_norm": 0.6571794152259827,
|
| 1323 |
+
"learning_rate": 9.692151055164754e-05,
|
| 1324 |
+
"loss": 0.207,
|
| 1325 |
+
"step": 1870
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.35,
|
| 1329 |
+
"grad_norm": 0.20037458837032318,
|
| 1330 |
+
"learning_rate": 9.690299888930027e-05,
|
| 1331 |
+
"loss": 0.1985,
|
| 1332 |
+
"step": 1880
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.35,
|
| 1336 |
+
"grad_norm": 0.9381949305534363,
|
| 1337 |
+
"learning_rate": 9.688448722695299e-05,
|
| 1338 |
+
"loss": 0.2118,
|
| 1339 |
+
"step": 1890
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.35,
|
| 1343 |
+
"grad_norm": 1.4142616987228394,
|
| 1344 |
+
"learning_rate": 9.68659755646057e-05,
|
| 1345 |
+
"loss": 0.2155,
|
| 1346 |
+
"step": 1900
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.35,
|
| 1350 |
+
"grad_norm": 0.7180021405220032,
|
| 1351 |
+
"learning_rate": 9.684746390225843e-05,
|
| 1352 |
+
"loss": 0.2024,
|
| 1353 |
+
"step": 1910
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.35,
|
| 1357 |
+
"grad_norm": 0.6328707933425903,
|
| 1358 |
+
"learning_rate": 9.682895223991115e-05,
|
| 1359 |
+
"loss": 0.2107,
|
| 1360 |
+
"step": 1920
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.36,
|
| 1364 |
+
"grad_norm": 1.0013030767440796,
|
| 1365 |
+
"learning_rate": 9.681044057756387e-05,
|
| 1366 |
+
"loss": 0.1973,
|
| 1367 |
+
"step": 1930
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.36,
|
| 1371 |
+
"grad_norm": 0.9628821611404419,
|
| 1372 |
+
"learning_rate": 9.679192891521659e-05,
|
| 1373 |
+
"loss": 0.2074,
|
| 1374 |
+
"step": 1940
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.36,
|
| 1378 |
+
"grad_norm": 1.5976811647415161,
|
| 1379 |
+
"learning_rate": 9.677341725286932e-05,
|
| 1380 |
+
"loss": 0.2076,
|
| 1381 |
+
"step": 1950
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.36,
|
| 1385 |
+
"grad_norm": 1.5646719932556152,
|
| 1386 |
+
"learning_rate": 9.675490559052203e-05,
|
| 1387 |
+
"loss": 0.2291,
|
| 1388 |
+
"step": 1960
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.36,
|
| 1392 |
+
"grad_norm": 1.701019287109375,
|
| 1393 |
+
"learning_rate": 9.673639392817475e-05,
|
| 1394 |
+
"loss": 0.2108,
|
| 1395 |
+
"step": 1970
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.37,
|
| 1399 |
+
"grad_norm": 0.8562067747116089,
|
| 1400 |
+
"learning_rate": 9.671788226582747e-05,
|
| 1401 |
+
"loss": 0.2072,
|
| 1402 |
+
"step": 1980
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.37,
|
| 1406 |
+
"grad_norm": 1.2539293766021729,
|
| 1407 |
+
"learning_rate": 9.66993706034802e-05,
|
| 1408 |
+
"loss": 0.215,
|
| 1409 |
+
"step": 1990
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.37,
|
| 1413 |
+
"grad_norm": 1.9341269731521606,
|
| 1414 |
+
"learning_rate": 9.668085894113292e-05,
|
| 1415 |
+
"loss": 0.2184,
|
| 1416 |
+
"step": 2000
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.37,
|
| 1420 |
+
"grad_norm": 0.4503909945487976,
|
| 1421 |
+
"learning_rate": 9.666234727878563e-05,
|
| 1422 |
+
"loss": 0.2129,
|
| 1423 |
+
"step": 2010
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.37,
|
| 1427 |
+
"grad_norm": 0.4750733971595764,
|
| 1428 |
+
"learning_rate": 9.664383561643836e-05,
|
| 1429 |
+
"loss": 0.1996,
|
| 1430 |
+
"step": 2020
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.37,
|
| 1434 |
+
"grad_norm": 0.7526803016662598,
|
| 1435 |
+
"learning_rate": 9.662532395409108e-05,
|
| 1436 |
+
"loss": 0.2152,
|
| 1437 |
+
"step": 2030
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.38,
|
| 1441 |
+
"grad_norm": 0.45865398645401,
|
| 1442 |
+
"learning_rate": 9.66068122917438e-05,
|
| 1443 |
+
"loss": 0.204,
|
| 1444 |
+
"step": 2040
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.38,
|
| 1448 |
+
"grad_norm": 0.4336209297180176,
|
| 1449 |
+
"learning_rate": 9.658830062939652e-05,
|
| 1450 |
+
"loss": 0.1989,
|
| 1451 |
+
"step": 2050
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.38,
|
| 1455 |
+
"grad_norm": 2.891535520553589,
|
| 1456 |
+
"learning_rate": 9.656978896704925e-05,
|
| 1457 |
+
"loss": 0.2072,
|
| 1458 |
+
"step": 2060
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.38,
|
| 1462 |
+
"grad_norm": 0.5239700675010681,
|
| 1463 |
+
"learning_rate": 9.655127730470196e-05,
|
| 1464 |
+
"loss": 0.2116,
|
| 1465 |
+
"step": 2070
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.38,
|
| 1469 |
+
"grad_norm": 0.3464105725288391,
|
| 1470 |
+
"learning_rate": 9.653276564235468e-05,
|
| 1471 |
+
"loss": 0.2038,
|
| 1472 |
+
"step": 2080
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.39,
|
| 1476 |
+
"grad_norm": 0.4590921401977539,
|
| 1477 |
+
"learning_rate": 9.651425398000741e-05,
|
| 1478 |
+
"loss": 0.2151,
|
| 1479 |
+
"step": 2090
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.39,
|
| 1483 |
+
"grad_norm": 0.5390322208404541,
|
| 1484 |
+
"learning_rate": 9.649574231766013e-05,
|
| 1485 |
+
"loss": 0.2165,
|
| 1486 |
+
"step": 2100
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.39,
|
| 1490 |
+
"grad_norm": 0.8248626589775085,
|
| 1491 |
+
"learning_rate": 9.647723065531286e-05,
|
| 1492 |
+
"loss": 0.199,
|
| 1493 |
+
"step": 2110
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.39,
|
| 1497 |
+
"grad_norm": 0.5358192324638367,
|
| 1498 |
+
"learning_rate": 9.645871899296556e-05,
|
| 1499 |
+
"loss": 0.2159,
|
| 1500 |
+
"step": 2120
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.39,
|
| 1504 |
+
"grad_norm": 1.0364553928375244,
|
| 1505 |
+
"learning_rate": 9.64402073306183e-05,
|
| 1506 |
+
"loss": 0.1947,
|
| 1507 |
+
"step": 2130
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.39,
|
| 1511 |
+
"grad_norm": 0.628521740436554,
|
| 1512 |
+
"learning_rate": 9.642169566827101e-05,
|
| 1513 |
+
"loss": 0.2212,
|
| 1514 |
+
"step": 2140
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.4,
|
| 1518 |
+
"grad_norm": 0.6107978224754333,
|
| 1519 |
+
"learning_rate": 9.640318400592374e-05,
|
| 1520 |
+
"loss": 0.2064,
|
| 1521 |
+
"step": 2150
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.4,
|
| 1525 |
+
"grad_norm": 1.7244569063186646,
|
| 1526 |
+
"learning_rate": 9.638467234357646e-05,
|
| 1527 |
+
"loss": 0.2158,
|
| 1528 |
+
"step": 2160
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.4,
|
| 1532 |
+
"grad_norm": 0.4745640158653259,
|
| 1533 |
+
"learning_rate": 9.636616068122918e-05,
|
| 1534 |
+
"loss": 0.2143,
|
| 1535 |
+
"step": 2170
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.4,
|
| 1539 |
+
"grad_norm": 0.6135119795799255,
|
| 1540 |
+
"learning_rate": 9.634764901888191e-05,
|
| 1541 |
+
"loss": 0.2166,
|
| 1542 |
+
"step": 2180
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.4,
|
| 1546 |
+
"grad_norm": 0.29639098048210144,
|
| 1547 |
+
"learning_rate": 9.632913735653463e-05,
|
| 1548 |
+
"loss": 0.2031,
|
| 1549 |
+
"step": 2190
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.41,
|
| 1553 |
+
"grad_norm": 0.7129987478256226,
|
| 1554 |
+
"learning_rate": 9.631062569418734e-05,
|
| 1555 |
+
"loss": 0.2057,
|
| 1556 |
+
"step": 2200
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.41,
|
| 1560 |
+
"grad_norm": 1.079046607017517,
|
| 1561 |
+
"learning_rate": 9.629211403184006e-05,
|
| 1562 |
+
"loss": 0.2012,
|
| 1563 |
+
"step": 2210
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.41,
|
| 1567 |
+
"grad_norm": 0.61760014295578,
|
| 1568 |
+
"learning_rate": 9.627360236949279e-05,
|
| 1569 |
+
"loss": 0.198,
|
| 1570 |
+
"step": 2220
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.41,
|
| 1574 |
+
"grad_norm": 0.36462926864624023,
|
| 1575 |
+
"learning_rate": 9.62550907071455e-05,
|
| 1576 |
+
"loss": 0.2003,
|
| 1577 |
+
"step": 2230
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.41,
|
| 1581 |
+
"grad_norm": 0.37455418705940247,
|
| 1582 |
+
"learning_rate": 9.623657904479823e-05,
|
| 1583 |
+
"loss": 0.2234,
|
| 1584 |
+
"step": 2240
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.41,
|
| 1588 |
+
"grad_norm": 0.3829789459705353,
|
| 1589 |
+
"learning_rate": 9.621806738245094e-05,
|
| 1590 |
+
"loss": 0.2177,
|
| 1591 |
+
"step": 2250
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.42,
|
| 1595 |
+
"grad_norm": 0.760238528251648,
|
| 1596 |
+
"learning_rate": 9.619955572010367e-05,
|
| 1597 |
+
"loss": 0.2109,
|
| 1598 |
+
"step": 2260
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.42,
|
| 1602 |
+
"grad_norm": 0.3408792316913605,
|
| 1603 |
+
"learning_rate": 9.618104405775639e-05,
|
| 1604 |
+
"loss": 0.1997,
|
| 1605 |
+
"step": 2270
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.42,
|
| 1609 |
+
"grad_norm": 0.38549286127090454,
|
| 1610 |
+
"learning_rate": 9.616253239540911e-05,
|
| 1611 |
+
"loss": 0.213,
|
| 1612 |
+
"step": 2280
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.42,
|
| 1616 |
+
"grad_norm": 1.2211161851882935,
|
| 1617 |
+
"learning_rate": 9.614402073306184e-05,
|
| 1618 |
+
"loss": 0.2104,
|
| 1619 |
+
"step": 2290
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.42,
|
| 1623 |
+
"grad_norm": 0.7109599113464355,
|
| 1624 |
+
"learning_rate": 9.612550907071456e-05,
|
| 1625 |
+
"loss": 0.206,
|
| 1626 |
+
"step": 2300
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.43,
|
| 1630 |
+
"grad_norm": 2.4902968406677246,
|
| 1631 |
+
"learning_rate": 9.610699740836727e-05,
|
| 1632 |
+
"loss": 0.2169,
|
| 1633 |
+
"step": 2310
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.43,
|
| 1637 |
+
"grad_norm": 0.45785343647003174,
|
| 1638 |
+
"learning_rate": 9.608848574601999e-05,
|
| 1639 |
+
"loss": 0.201,
|
| 1640 |
+
"step": 2320
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.43,
|
| 1644 |
+
"grad_norm": 0.5752105116844177,
|
| 1645 |
+
"learning_rate": 9.606997408367272e-05,
|
| 1646 |
+
"loss": 0.1957,
|
| 1647 |
+
"step": 2330
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.43,
|
| 1651 |
+
"grad_norm": 1.4003032445907593,
|
| 1652 |
+
"learning_rate": 9.605146242132544e-05,
|
| 1653 |
+
"loss": 0.2131,
|
| 1654 |
+
"step": 2340
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.43,
|
| 1658 |
+
"grad_norm": 0.7407622337341309,
|
| 1659 |
+
"learning_rate": 9.603295075897816e-05,
|
| 1660 |
+
"loss": 0.2069,
|
| 1661 |
+
"step": 2350
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.44,
|
| 1665 |
+
"grad_norm": 0.6703731417655945,
|
| 1666 |
+
"learning_rate": 9.601443909663089e-05,
|
| 1667 |
+
"loss": 0.2068,
|
| 1668 |
+
"step": 2360
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.44,
|
| 1672 |
+
"grad_norm": 0.8653967976570129,
|
| 1673 |
+
"learning_rate": 9.59959274342836e-05,
|
| 1674 |
+
"loss": 0.2001,
|
| 1675 |
+
"step": 2370
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.44,
|
| 1679 |
+
"grad_norm": 3.6894798278808594,
|
| 1680 |
+
"learning_rate": 9.597741577193634e-05,
|
| 1681 |
+
"loss": 0.2133,
|
| 1682 |
+
"step": 2380
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.44,
|
| 1686 |
+
"grad_norm": 1.5660738945007324,
|
| 1687 |
+
"learning_rate": 9.595890410958904e-05,
|
| 1688 |
+
"loss": 0.2186,
|
| 1689 |
+
"step": 2390
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.44,
|
| 1693 |
+
"grad_norm": 1.0196833610534668,
|
| 1694 |
+
"learning_rate": 9.594039244724177e-05,
|
| 1695 |
+
"loss": 0.2096,
|
| 1696 |
+
"step": 2400
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.44,
|
| 1700 |
+
"grad_norm": 0.25469130277633667,
|
| 1701 |
+
"learning_rate": 9.592188078489449e-05,
|
| 1702 |
+
"loss": 0.2086,
|
| 1703 |
+
"step": 2410
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.45,
|
| 1707 |
+
"grad_norm": 0.517469584941864,
|
| 1708 |
+
"learning_rate": 9.59033691225472e-05,
|
| 1709 |
+
"loss": 0.2142,
|
| 1710 |
+
"step": 2420
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.45,
|
| 1714 |
+
"grad_norm": 0.8714912533760071,
|
| 1715 |
+
"learning_rate": 9.588485746019992e-05,
|
| 1716 |
+
"loss": 0.1995,
|
| 1717 |
+
"step": 2430
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.45,
|
| 1721 |
+
"grad_norm": 1.4467742443084717,
|
| 1722 |
+
"learning_rate": 9.586634579785265e-05,
|
| 1723 |
+
"loss": 0.1988,
|
| 1724 |
+
"step": 2440
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.45,
|
| 1728 |
+
"grad_norm": 0.6827601790428162,
|
| 1729 |
+
"learning_rate": 9.584783413550537e-05,
|
| 1730 |
+
"loss": 0.2004,
|
| 1731 |
+
"step": 2450
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.45,
|
| 1735 |
+
"grad_norm": 0.5829424262046814,
|
| 1736 |
+
"learning_rate": 9.582932247315809e-05,
|
| 1737 |
+
"loss": 0.2043,
|
| 1738 |
+
"step": 2460
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.46,
|
| 1742 |
+
"grad_norm": 0.6504799127578735,
|
| 1743 |
+
"learning_rate": 9.581081081081082e-05,
|
| 1744 |
+
"loss": 0.2082,
|
| 1745 |
+
"step": 2470
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.46,
|
| 1749 |
+
"grad_norm": 0.2879631221294403,
|
| 1750 |
+
"learning_rate": 9.579229914846354e-05,
|
| 1751 |
+
"loss": 0.2064,
|
| 1752 |
+
"step": 2480
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.46,
|
| 1756 |
+
"grad_norm": 0.337453693151474,
|
| 1757 |
+
"learning_rate": 9.577378748611627e-05,
|
| 1758 |
+
"loss": 0.2195,
|
| 1759 |
+
"step": 2490
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.46,
|
| 1763 |
+
"grad_norm": 0.7913995981216431,
|
| 1764 |
+
"learning_rate": 9.575527582376897e-05,
|
| 1765 |
+
"loss": 0.2002,
|
| 1766 |
+
"step": 2500
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.46,
|
| 1770 |
+
"grad_norm": 0.33184346556663513,
|
| 1771 |
+
"learning_rate": 9.57367641614217e-05,
|
| 1772 |
+
"loss": 0.1974,
|
| 1773 |
+
"step": 2510
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.46,
|
| 1777 |
+
"grad_norm": 1.3612488508224487,
|
| 1778 |
+
"learning_rate": 9.571825249907442e-05,
|
| 1779 |
+
"loss": 0.2081,
|
| 1780 |
+
"step": 2520
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.47,
|
| 1784 |
+
"grad_norm": 1.3221415281295776,
|
| 1785 |
+
"learning_rate": 9.569974083672715e-05,
|
| 1786 |
+
"loss": 0.2142,
|
| 1787 |
+
"step": 2530
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.47,
|
| 1791 |
+
"grad_norm": 0.7433180212974548,
|
| 1792 |
+
"learning_rate": 9.568122917437987e-05,
|
| 1793 |
+
"loss": 0.2087,
|
| 1794 |
+
"step": 2540
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.47,
|
| 1798 |
+
"grad_norm": 0.3186396062374115,
|
| 1799 |
+
"learning_rate": 9.566271751203258e-05,
|
| 1800 |
+
"loss": 0.2161,
|
| 1801 |
+
"step": 2550
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.47,
|
| 1805 |
+
"grad_norm": 0.9290895462036133,
|
| 1806 |
+
"learning_rate": 9.564420584968531e-05,
|
| 1807 |
+
"loss": 0.2165,
|
| 1808 |
+
"step": 2560
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.47,
|
| 1812 |
+
"grad_norm": 0.9218959212303162,
|
| 1813 |
+
"learning_rate": 9.562569418733803e-05,
|
| 1814 |
+
"loss": 0.2077,
|
| 1815 |
+
"step": 2570
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.48,
|
| 1819 |
+
"grad_norm": 0.6397104859352112,
|
| 1820 |
+
"learning_rate": 9.560718252499075e-05,
|
| 1821 |
+
"loss": 0.205,
|
| 1822 |
+
"step": 2580
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.48,
|
| 1826 |
+
"grad_norm": 2.004181385040283,
|
| 1827 |
+
"learning_rate": 9.558867086264347e-05,
|
| 1828 |
+
"loss": 0.2093,
|
| 1829 |
+
"step": 2590
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.48,
|
| 1833 |
+
"grad_norm": 0.29606181383132935,
|
| 1834 |
+
"learning_rate": 9.55701592002962e-05,
|
| 1835 |
+
"loss": 0.2145,
|
| 1836 |
+
"step": 2600
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.48,
|
| 1840 |
+
"grad_norm": 2.1520352363586426,
|
| 1841 |
+
"learning_rate": 9.55516475379489e-05,
|
| 1842 |
+
"loss": 0.2165,
|
| 1843 |
+
"step": 2610
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.48,
|
| 1847 |
+
"grad_norm": 1.1662155389785767,
|
| 1848 |
+
"learning_rate": 9.553313587560163e-05,
|
| 1849 |
+
"loss": 0.1981,
|
| 1850 |
+
"step": 2620
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.49,
|
| 1854 |
+
"grad_norm": 0.5705534815788269,
|
| 1855 |
+
"learning_rate": 9.551462421325436e-05,
|
| 1856 |
+
"loss": 0.2004,
|
| 1857 |
+
"step": 2630
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.49,
|
| 1861 |
+
"grad_norm": 0.2732492685317993,
|
| 1862 |
+
"learning_rate": 9.549611255090708e-05,
|
| 1863 |
+
"loss": 0.2137,
|
| 1864 |
+
"step": 2640
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.49,
|
| 1868 |
+
"grad_norm": 2.1860570907592773,
|
| 1869 |
+
"learning_rate": 9.54776008885598e-05,
|
| 1870 |
+
"loss": 0.2057,
|
| 1871 |
+
"step": 2650
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.49,
|
| 1875 |
+
"grad_norm": 0.5216954350471497,
|
| 1876 |
+
"learning_rate": 9.545908922621251e-05,
|
| 1877 |
+
"loss": 0.2175,
|
| 1878 |
+
"step": 2660
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.49,
|
| 1882 |
+
"grad_norm": 0.7214330434799194,
|
| 1883 |
+
"learning_rate": 9.544057756386524e-05,
|
| 1884 |
+
"loss": 0.2104,
|
| 1885 |
+
"step": 2670
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.49,
|
| 1889 |
+
"grad_norm": 1.1864840984344482,
|
| 1890 |
+
"learning_rate": 9.542206590151796e-05,
|
| 1891 |
+
"loss": 0.2168,
|
| 1892 |
+
"step": 2680
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.5,
|
| 1896 |
+
"grad_norm": 0.7450833916664124,
|
| 1897 |
+
"learning_rate": 9.540355423917068e-05,
|
| 1898 |
+
"loss": 0.2064,
|
| 1899 |
+
"step": 2690
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.5,
|
| 1903 |
+
"grad_norm": 1.97665274143219,
|
| 1904 |
+
"learning_rate": 9.53850425768234e-05,
|
| 1905 |
+
"loss": 0.2132,
|
| 1906 |
+
"step": 2700
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.5,
|
| 1910 |
+
"grad_norm": 0.8283855319023132,
|
| 1911 |
+
"learning_rate": 9.536653091447613e-05,
|
| 1912 |
+
"loss": 0.217,
|
| 1913 |
+
"step": 2710
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.5,
|
| 1917 |
+
"grad_norm": 0.8062860369682312,
|
| 1918 |
+
"learning_rate": 9.534801925212884e-05,
|
| 1919 |
+
"loss": 0.1985,
|
| 1920 |
+
"step": 2720
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.5,
|
| 1924 |
+
"grad_norm": 1.2342814207077026,
|
| 1925 |
+
"learning_rate": 9.532950758978156e-05,
|
| 1926 |
+
"loss": 0.2043,
|
| 1927 |
+
"step": 2730
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.51,
|
| 1931 |
+
"grad_norm": 2.1351473331451416,
|
| 1932 |
+
"learning_rate": 9.531099592743429e-05,
|
| 1933 |
+
"loss": 0.2145,
|
| 1934 |
+
"step": 2740
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.51,
|
| 1938 |
+
"grad_norm": 1.2654520273208618,
|
| 1939 |
+
"learning_rate": 9.529248426508701e-05,
|
| 1940 |
+
"loss": 0.2067,
|
| 1941 |
+
"step": 2750
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.51,
|
| 1945 |
+
"grad_norm": 0.3491131067276001,
|
| 1946 |
+
"learning_rate": 9.527397260273974e-05,
|
| 1947 |
+
"loss": 0.2008,
|
| 1948 |
+
"step": 2760
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.51,
|
| 1952 |
+
"grad_norm": 1.2141033411026,
|
| 1953 |
+
"learning_rate": 9.525546094039244e-05,
|
| 1954 |
+
"loss": 0.1965,
|
| 1955 |
+
"step": 2770
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.51,
|
| 1959 |
+
"grad_norm": 0.3704434037208557,
|
| 1960 |
+
"learning_rate": 9.523694927804518e-05,
|
| 1961 |
+
"loss": 0.2041,
|
| 1962 |
+
"step": 2780
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.51,
|
| 1966 |
+
"grad_norm": 1.8885278701782227,
|
| 1967 |
+
"learning_rate": 9.521843761569789e-05,
|
| 1968 |
+
"loss": 0.2062,
|
| 1969 |
+
"step": 2790
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.52,
|
| 1973 |
+
"grad_norm": 0.622947633266449,
|
| 1974 |
+
"learning_rate": 9.519992595335061e-05,
|
| 1975 |
+
"loss": 0.2023,
|
| 1976 |
+
"step": 2800
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.52,
|
| 1980 |
+
"grad_norm": 2.0077390670776367,
|
| 1981 |
+
"learning_rate": 9.518141429100334e-05,
|
| 1982 |
+
"loss": 0.2025,
|
| 1983 |
+
"step": 2810
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.52,
|
| 1987 |
+
"grad_norm": 0.7942656874656677,
|
| 1988 |
+
"learning_rate": 9.516290262865606e-05,
|
| 1989 |
+
"loss": 0.201,
|
| 1990 |
+
"step": 2820
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.52,
|
| 1994 |
+
"grad_norm": 1.2571896314620972,
|
| 1995 |
+
"learning_rate": 9.514439096630879e-05,
|
| 1996 |
+
"loss": 0.206,
|
| 1997 |
+
"step": 2830
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.52,
|
| 2001 |
+
"grad_norm": 0.8487832546234131,
|
| 2002 |
+
"learning_rate": 9.512587930396149e-05,
|
| 2003 |
+
"loss": 0.2079,
|
| 2004 |
+
"step": 2840
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.53,
|
| 2008 |
+
"grad_norm": 0.46226075291633606,
|
| 2009 |
+
"learning_rate": 9.510736764161422e-05,
|
| 2010 |
+
"loss": 0.2048,
|
| 2011 |
+
"step": 2850
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.53,
|
| 2015 |
+
"grad_norm": 0.33343935012817383,
|
| 2016 |
+
"learning_rate": 9.508885597926694e-05,
|
| 2017 |
+
"loss": 0.2082,
|
| 2018 |
+
"step": 2860
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.53,
|
| 2022 |
+
"grad_norm": 0.5473183393478394,
|
| 2023 |
+
"learning_rate": 9.507034431691967e-05,
|
| 2024 |
+
"loss": 0.2033,
|
| 2025 |
+
"step": 2870
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.53,
|
| 2029 |
+
"grad_norm": 0.767188310623169,
|
| 2030 |
+
"learning_rate": 9.505183265457238e-05,
|
| 2031 |
+
"loss": 0.2021,
|
| 2032 |
+
"step": 2880
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.53,
|
| 2036 |
+
"grad_norm": 0.36617210507392883,
|
| 2037 |
+
"learning_rate": 9.50333209922251e-05,
|
| 2038 |
+
"loss": 0.2008,
|
| 2039 |
+
"step": 2890
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.53,
|
| 2043 |
+
"grad_norm": 0.4321964979171753,
|
| 2044 |
+
"learning_rate": 9.501480932987782e-05,
|
| 2045 |
+
"loss": 0.2019,
|
| 2046 |
+
"step": 2900
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.54,
|
| 2050 |
+
"grad_norm": 0.39318132400512695,
|
| 2051 |
+
"learning_rate": 9.499629766753055e-05,
|
| 2052 |
+
"loss": 0.2004,
|
| 2053 |
+
"step": 2910
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.54,
|
| 2057 |
+
"grad_norm": 0.42340582609176636,
|
| 2058 |
+
"learning_rate": 9.497778600518327e-05,
|
| 2059 |
+
"loss": 0.1888,
|
| 2060 |
+
"step": 2920
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.54,
|
| 2064 |
+
"grad_norm": 0.6964154243469238,
|
| 2065 |
+
"learning_rate": 9.495927434283599e-05,
|
| 2066 |
+
"loss": 0.1941,
|
| 2067 |
+
"step": 2930
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.54,
|
| 2071 |
+
"grad_norm": 1.6123028993606567,
|
| 2072 |
+
"learning_rate": 9.494076268048872e-05,
|
| 2073 |
+
"loss": 0.2073,
|
| 2074 |
+
"step": 2940
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.54,
|
| 2078 |
+
"grad_norm": 0.6400339007377625,
|
| 2079 |
+
"learning_rate": 9.492225101814142e-05,
|
| 2080 |
+
"loss": 0.2021,
|
| 2081 |
+
"step": 2950
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.55,
|
| 2085 |
+
"grad_norm": 0.3889828026294708,
|
| 2086 |
+
"learning_rate": 9.490373935579415e-05,
|
| 2087 |
+
"loss": 0.197,
|
| 2088 |
+
"step": 2960
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.55,
|
| 2092 |
+
"grad_norm": 0.2391413450241089,
|
| 2093 |
+
"learning_rate": 9.488522769344687e-05,
|
| 2094 |
+
"loss": 0.1988,
|
| 2095 |
+
"step": 2970
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.55,
|
| 2099 |
+
"grad_norm": 1.3817205429077148,
|
| 2100 |
+
"learning_rate": 9.48667160310996e-05,
|
| 2101 |
+
"loss": 0.1995,
|
| 2102 |
+
"step": 2980
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.55,
|
| 2106 |
+
"grad_norm": 0.47163134813308716,
|
| 2107 |
+
"learning_rate": 9.484820436875232e-05,
|
| 2108 |
+
"loss": 0.1899,
|
| 2109 |
+
"step": 2990
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.55,
|
| 2113 |
+
"grad_norm": 0.9131165146827698,
|
| 2114 |
+
"learning_rate": 9.482969270640504e-05,
|
| 2115 |
+
"loss": 0.1944,
|
| 2116 |
+
"step": 3000
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.56,
|
| 2120 |
+
"grad_norm": 0.6244738101959229,
|
| 2121 |
+
"learning_rate": 9.481118104405777e-05,
|
| 2122 |
+
"loss": 0.207,
|
| 2123 |
+
"step": 3010
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.56,
|
| 2127 |
+
"grad_norm": 0.5568848848342896,
|
| 2128 |
+
"learning_rate": 9.479266938171048e-05,
|
| 2129 |
+
"loss": 0.1842,
|
| 2130 |
+
"step": 3020
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.56,
|
| 2134 |
+
"grad_norm": 0.7403110861778259,
|
| 2135 |
+
"learning_rate": 9.47741577193632e-05,
|
| 2136 |
+
"loss": 0.1981,
|
| 2137 |
+
"step": 3030
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.56,
|
| 2141 |
+
"grad_norm": 1.1462550163269043,
|
| 2142 |
+
"learning_rate": 9.475564605701592e-05,
|
| 2143 |
+
"loss": 0.1967,
|
| 2144 |
+
"step": 3040
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.56,
|
| 2148 |
+
"grad_norm": 0.9351162910461426,
|
| 2149 |
+
"learning_rate": 9.473713439466865e-05,
|
| 2150 |
+
"loss": 0.1999,
|
| 2151 |
+
"step": 3050
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.56,
|
| 2155 |
+
"grad_norm": 0.4262019693851471,
|
| 2156 |
+
"learning_rate": 9.471862273232137e-05,
|
| 2157 |
+
"loss": 0.1889,
|
| 2158 |
+
"step": 3060
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.57,
|
| 2162 |
+
"grad_norm": 1.5111364126205444,
|
| 2163 |
+
"learning_rate": 9.470011106997408e-05,
|
| 2164 |
+
"loss": 0.2139,
|
| 2165 |
+
"step": 3070
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.57,
|
| 2169 |
+
"grad_norm": 0.6351222991943359,
|
| 2170 |
+
"learning_rate": 9.468159940762682e-05,
|
| 2171 |
+
"loss": 0.1952,
|
| 2172 |
+
"step": 3080
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.57,
|
| 2176 |
+
"grad_norm": 0.46668490767478943,
|
| 2177 |
+
"learning_rate": 9.466308774527953e-05,
|
| 2178 |
+
"loss": 0.1967,
|
| 2179 |
+
"step": 3090
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.57,
|
| 2183 |
+
"grad_norm": 0.43086475133895874,
|
| 2184 |
+
"learning_rate": 9.464457608293226e-05,
|
| 2185 |
+
"loss": 0.2037,
|
| 2186 |
+
"step": 3100
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.57,
|
| 2190 |
+
"grad_norm": 0.2739882171154022,
|
| 2191 |
+
"learning_rate": 9.462606442058497e-05,
|
| 2192 |
+
"loss": 0.2141,
|
| 2193 |
+
"step": 3110
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.58,
|
| 2197 |
+
"grad_norm": 0.6408763527870178,
|
| 2198 |
+
"learning_rate": 9.46075527582377e-05,
|
| 2199 |
+
"loss": 0.1994,
|
| 2200 |
+
"step": 3120
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 0.58,
|
| 2204 |
+
"grad_norm": 0.33041083812713623,
|
| 2205 |
+
"learning_rate": 9.458904109589042e-05,
|
| 2206 |
+
"loss": 0.1992,
|
| 2207 |
+
"step": 3130
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 0.58,
|
| 2211 |
+
"grad_norm": 0.2604489326477051,
|
| 2212 |
+
"learning_rate": 9.457052943354313e-05,
|
| 2213 |
+
"loss": 0.2044,
|
| 2214 |
+
"step": 3140
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 0.58,
|
| 2218 |
+
"grad_norm": 1.0766637325286865,
|
| 2219 |
+
"learning_rate": 9.455201777119585e-05,
|
| 2220 |
+
"loss": 0.2121,
|
| 2221 |
+
"step": 3150
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 0.58,
|
| 2225 |
+
"grad_norm": 1.4685893058776855,
|
| 2226 |
+
"learning_rate": 9.453350610884858e-05,
|
| 2227 |
+
"loss": 0.2114,
|
| 2228 |
+
"step": 3160
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 0.58,
|
| 2232 |
+
"grad_norm": 0.42889487743377686,
|
| 2233 |
+
"learning_rate": 9.45149944465013e-05,
|
| 2234 |
+
"loss": 0.2035,
|
| 2235 |
+
"step": 3170
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.59,
|
| 2239 |
+
"grad_norm": 0.5236283540725708,
|
| 2240 |
+
"learning_rate": 9.449648278415402e-05,
|
| 2241 |
+
"loss": 0.1984,
|
| 2242 |
+
"step": 3180
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.59,
|
| 2246 |
+
"grad_norm": 1.366331696510315,
|
| 2247 |
+
"learning_rate": 9.447797112180675e-05,
|
| 2248 |
+
"loss": 0.2003,
|
| 2249 |
+
"step": 3190
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.59,
|
| 2253 |
+
"grad_norm": 0.7277652025222778,
|
| 2254 |
+
"learning_rate": 9.445945945945946e-05,
|
| 2255 |
+
"loss": 0.1902,
|
| 2256 |
+
"step": 3200
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 0.59,
|
| 2260 |
+
"grad_norm": 0.5104700922966003,
|
| 2261 |
+
"learning_rate": 9.44409477971122e-05,
|
| 2262 |
+
"loss": 0.2041,
|
| 2263 |
+
"step": 3210
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 0.59,
|
| 2267 |
+
"grad_norm": 0.307566374540329,
|
| 2268 |
+
"learning_rate": 9.44224361347649e-05,
|
| 2269 |
+
"loss": 0.1984,
|
| 2270 |
+
"step": 3220
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 0.6,
|
| 2274 |
+
"grad_norm": 0.6505478620529175,
|
| 2275 |
+
"learning_rate": 9.440392447241763e-05,
|
| 2276 |
+
"loss": 0.2023,
|
| 2277 |
+
"step": 3230
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.6,
|
| 2281 |
+
"grad_norm": 1.1189345121383667,
|
| 2282 |
+
"learning_rate": 9.438541281007035e-05,
|
| 2283 |
+
"loss": 0.1801,
|
| 2284 |
+
"step": 3240
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.6,
|
| 2288 |
+
"grad_norm": 1.2170076370239258,
|
| 2289 |
+
"learning_rate": 9.436690114772308e-05,
|
| 2290 |
+
"loss": 0.2064,
|
| 2291 |
+
"step": 3250
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.6,
|
| 2295 |
+
"grad_norm": 0.3985789716243744,
|
| 2296 |
+
"learning_rate": 9.43483894853758e-05,
|
| 2297 |
+
"loss": 0.2095,
|
| 2298 |
+
"step": 3260
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.6,
|
| 2302 |
+
"grad_norm": 0.2721532881259918,
|
| 2303 |
+
"learning_rate": 9.432987782302851e-05,
|
| 2304 |
+
"loss": 0.2031,
|
| 2305 |
+
"step": 3270
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.6,
|
| 2309 |
+
"grad_norm": 1.036005973815918,
|
| 2310 |
+
"learning_rate": 9.431136616068124e-05,
|
| 2311 |
+
"loss": 0.1997,
|
| 2312 |
+
"step": 3280
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.61,
|
| 2316 |
+
"grad_norm": 0.7809330224990845,
|
| 2317 |
+
"learning_rate": 9.429285449833396e-05,
|
| 2318 |
+
"loss": 0.2047,
|
| 2319 |
+
"step": 3290
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.61,
|
| 2323 |
+
"grad_norm": 1.0563770532608032,
|
| 2324 |
+
"learning_rate": 9.427434283598668e-05,
|
| 2325 |
+
"loss": 0.2095,
|
| 2326 |
+
"step": 3300
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.61,
|
| 2330 |
+
"grad_norm": 1.421645998954773,
|
| 2331 |
+
"learning_rate": 9.42558311736394e-05,
|
| 2332 |
+
"loss": 0.2023,
|
| 2333 |
+
"step": 3310
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 0.61,
|
| 2337 |
+
"grad_norm": 0.821112334728241,
|
| 2338 |
+
"learning_rate": 9.423731951129212e-05,
|
| 2339 |
+
"loss": 0.2007,
|
| 2340 |
+
"step": 3320
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 0.61,
|
| 2344 |
+
"grad_norm": 0.28622138500213623,
|
| 2345 |
+
"learning_rate": 9.421880784894483e-05,
|
| 2346 |
+
"loss": 0.1934,
|
| 2347 |
+
"step": 3330
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 0.62,
|
| 2351 |
+
"grad_norm": 0.34855708479881287,
|
| 2352 |
+
"learning_rate": 9.420029618659756e-05,
|
| 2353 |
+
"loss": 0.1912,
|
| 2354 |
+
"step": 3340
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 0.62,
|
| 2358 |
+
"grad_norm": 0.5029919147491455,
|
| 2359 |
+
"learning_rate": 9.418178452425028e-05,
|
| 2360 |
+
"loss": 0.1977,
|
| 2361 |
+
"step": 3350
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.62,
|
| 2365 |
+
"grad_norm": 0.6966719031333923,
|
| 2366 |
+
"learning_rate": 9.416327286190301e-05,
|
| 2367 |
+
"loss": 0.1929,
|
| 2368 |
+
"step": 3360
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 0.62,
|
| 2372 |
+
"grad_norm": 0.6500990390777588,
|
| 2373 |
+
"learning_rate": 9.414476119955572e-05,
|
| 2374 |
+
"loss": 0.197,
|
| 2375 |
+
"step": 3370
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 0.62,
|
| 2379 |
+
"grad_norm": 1.8321138620376587,
|
| 2380 |
+
"learning_rate": 9.412624953720844e-05,
|
| 2381 |
+
"loss": 0.1937,
|
| 2382 |
+
"step": 3380
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 0.63,
|
| 2386 |
+
"grad_norm": 0.976116418838501,
|
| 2387 |
+
"learning_rate": 9.410773787486117e-05,
|
| 2388 |
+
"loss": 0.1971,
|
| 2389 |
+
"step": 3390
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 0.63,
|
| 2393 |
+
"grad_norm": 1.2449440956115723,
|
| 2394 |
+
"learning_rate": 9.408922621251389e-05,
|
| 2395 |
+
"loss": 0.1915,
|
| 2396 |
+
"step": 3400
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 0.63,
|
| 2400 |
+
"grad_norm": 0.3859243094921112,
|
| 2401 |
+
"learning_rate": 9.407071455016661e-05,
|
| 2402 |
+
"loss": 0.2041,
|
| 2403 |
+
"step": 3410
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 0.63,
|
| 2407 |
+
"grad_norm": 1.1816600561141968,
|
| 2408 |
+
"learning_rate": 9.405220288781932e-05,
|
| 2409 |
+
"loss": 0.2041,
|
| 2410 |
+
"step": 3420
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 0.63,
|
| 2414 |
+
"grad_norm": 0.6951285004615784,
|
| 2415 |
+
"learning_rate": 9.403369122547206e-05,
|
| 2416 |
+
"loss": 0.1971,
|
| 2417 |
+
"step": 3430
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 0.63,
|
| 2421 |
+
"grad_norm": 1.083073377609253,
|
| 2422 |
+
"learning_rate": 9.401517956312477e-05,
|
| 2423 |
+
"loss": 0.1996,
|
| 2424 |
+
"step": 3440
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 0.64,
|
| 2428 |
+
"grad_norm": 0.4412924647331238,
|
| 2429 |
+
"learning_rate": 9.399666790077749e-05,
|
| 2430 |
+
"loss": 0.2016,
|
| 2431 |
+
"step": 3450
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 0.64,
|
| 2435 |
+
"grad_norm": 0.7372565865516663,
|
| 2436 |
+
"learning_rate": 9.397815623843022e-05,
|
| 2437 |
+
"loss": 0.1969,
|
| 2438 |
+
"step": 3460
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 0.64,
|
| 2442 |
+
"grad_norm": 0.35396844148635864,
|
| 2443 |
+
"learning_rate": 9.395964457608294e-05,
|
| 2444 |
+
"loss": 0.2012,
|
| 2445 |
+
"step": 3470
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 0.64,
|
| 2449 |
+
"grad_norm": 2.25356388092041,
|
| 2450 |
+
"learning_rate": 9.394113291373567e-05,
|
| 2451 |
+
"loss": 0.2023,
|
| 2452 |
+
"step": 3480
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 0.64,
|
| 2456 |
+
"grad_norm": 1.400888442993164,
|
| 2457 |
+
"learning_rate": 9.392262125138837e-05,
|
| 2458 |
+
"loss": 0.1998,
|
| 2459 |
+
"step": 3490
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 0.65,
|
| 2463 |
+
"grad_norm": 0.43919339776039124,
|
| 2464 |
+
"learning_rate": 9.39041095890411e-05,
|
| 2465 |
+
"loss": 0.1928,
|
| 2466 |
+
"step": 3500
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 0.65,
|
| 2470 |
+
"grad_norm": 1.5835129022598267,
|
| 2471 |
+
"learning_rate": 9.388559792669382e-05,
|
| 2472 |
+
"loss": 0.2013,
|
| 2473 |
+
"step": 3510
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 0.65,
|
| 2477 |
+
"grad_norm": 0.9350130558013916,
|
| 2478 |
+
"learning_rate": 9.386708626434654e-05,
|
| 2479 |
+
"loss": 0.1965,
|
| 2480 |
+
"step": 3520
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 0.65,
|
| 2484 |
+
"grad_norm": 0.47554656863212585,
|
| 2485 |
+
"learning_rate": 9.384857460199926e-05,
|
| 2486 |
+
"loss": 0.1922,
|
| 2487 |
+
"step": 3530
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 0.65,
|
| 2491 |
+
"grad_norm": 1.0913207530975342,
|
| 2492 |
+
"learning_rate": 9.383006293965199e-05,
|
| 2493 |
+
"loss": 0.2029,
|
| 2494 |
+
"step": 3540
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 0.65,
|
| 2498 |
+
"grad_norm": 0.34091272950172424,
|
| 2499 |
+
"learning_rate": 9.381155127730472e-05,
|
| 2500 |
+
"loss": 0.1923,
|
| 2501 |
+
"step": 3550
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 0.66,
|
| 2505 |
+
"grad_norm": 0.5650482773780823,
|
| 2506 |
+
"learning_rate": 9.379303961495742e-05,
|
| 2507 |
+
"loss": 0.2056,
|
| 2508 |
+
"step": 3560
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 0.66,
|
| 2512 |
+
"grad_norm": 0.7033718228340149,
|
| 2513 |
+
"learning_rate": 9.377452795261015e-05,
|
| 2514 |
+
"loss": 0.203,
|
| 2515 |
+
"step": 3570
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 0.66,
|
| 2519 |
+
"grad_norm": 0.5366137623786926,
|
| 2520 |
+
"learning_rate": 9.375601629026287e-05,
|
| 2521 |
+
"loss": 0.1995,
|
| 2522 |
+
"step": 3580
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 0.66,
|
| 2526 |
+
"grad_norm": 1.450621485710144,
|
| 2527 |
+
"learning_rate": 9.37375046279156e-05,
|
| 2528 |
+
"loss": 0.2102,
|
| 2529 |
+
"step": 3590
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 0.66,
|
| 2533 |
+
"grad_norm": 0.5831088423728943,
|
| 2534 |
+
"learning_rate": 9.37189929655683e-05,
|
| 2535 |
+
"loss": 0.2112,
|
| 2536 |
+
"step": 3600
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 0.67,
|
| 2540 |
+
"grad_norm": 1.3041341304779053,
|
| 2541 |
+
"learning_rate": 9.370048130322103e-05,
|
| 2542 |
+
"loss": 0.2059,
|
| 2543 |
+
"step": 3610
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 0.67,
|
| 2547 |
+
"grad_norm": 0.39401304721832275,
|
| 2548 |
+
"learning_rate": 9.368196964087375e-05,
|
| 2549 |
+
"loss": 0.2047,
|
| 2550 |
+
"step": 3620
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 0.67,
|
| 2554 |
+
"grad_norm": 0.43465203046798706,
|
| 2555 |
+
"learning_rate": 9.366345797852648e-05,
|
| 2556 |
+
"loss": 0.1872,
|
| 2557 |
+
"step": 3630
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 0.67,
|
| 2561 |
+
"grad_norm": 0.34132349491119385,
|
| 2562 |
+
"learning_rate": 9.36449463161792e-05,
|
| 2563 |
+
"loss": 0.2011,
|
| 2564 |
+
"step": 3640
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 0.67,
|
| 2568 |
+
"grad_norm": 0.29983776807785034,
|
| 2569 |
+
"learning_rate": 9.362643465383192e-05,
|
| 2570 |
+
"loss": 0.1926,
|
| 2571 |
+
"step": 3650
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 0.67,
|
| 2575 |
+
"grad_norm": 0.3644193410873413,
|
| 2576 |
+
"learning_rate": 9.360792299148465e-05,
|
| 2577 |
+
"loss": 0.2003,
|
| 2578 |
+
"step": 3660
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 0.68,
|
| 2582 |
+
"grad_norm": 0.7472958564758301,
|
| 2583 |
+
"learning_rate": 9.358941132913736e-05,
|
| 2584 |
+
"loss": 0.2162,
|
| 2585 |
+
"step": 3670
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 0.68,
|
| 2589 |
+
"grad_norm": 1.2634315490722656,
|
| 2590 |
+
"learning_rate": 9.357089966679008e-05,
|
| 2591 |
+
"loss": 0.2097,
|
| 2592 |
+
"step": 3680
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 0.68,
|
| 2596 |
+
"grad_norm": 0.3091323971748352,
|
| 2597 |
+
"learning_rate": 9.35523880044428e-05,
|
| 2598 |
+
"loss": 0.1798,
|
| 2599 |
+
"step": 3690
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 0.68,
|
| 2603 |
+
"grad_norm": 0.33748623728752136,
|
| 2604 |
+
"learning_rate": 9.353387634209553e-05,
|
| 2605 |
+
"loss": 0.1919,
|
| 2606 |
+
"step": 3700
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 0.68,
|
| 2610 |
+
"grad_norm": 0.7219259142875671,
|
| 2611 |
+
"learning_rate": 9.351536467974825e-05,
|
| 2612 |
+
"loss": 0.2047,
|
| 2613 |
+
"step": 3710
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 0.69,
|
| 2617 |
+
"grad_norm": 0.3145447075366974,
|
| 2618 |
+
"learning_rate": 9.349685301740096e-05,
|
| 2619 |
+
"loss": 0.2014,
|
| 2620 |
+
"step": 3720
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 0.69,
|
| 2624 |
+
"grad_norm": 1.3122820854187012,
|
| 2625 |
+
"learning_rate": 9.34783413550537e-05,
|
| 2626 |
+
"loss": 0.1915,
|
| 2627 |
+
"step": 3730
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 0.69,
|
| 2631 |
+
"grad_norm": 0.5373870134353638,
|
| 2632 |
+
"learning_rate": 9.345982969270641e-05,
|
| 2633 |
+
"loss": 0.1953,
|
| 2634 |
+
"step": 3740
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 0.69,
|
| 2638 |
+
"grad_norm": 0.5105752348899841,
|
| 2639 |
+
"learning_rate": 9.344131803035913e-05,
|
| 2640 |
+
"loss": 0.2075,
|
| 2641 |
+
"step": 3750
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 0.69,
|
| 2645 |
+
"grad_norm": 0.5081068277359009,
|
| 2646 |
+
"learning_rate": 9.342280636801185e-05,
|
| 2647 |
+
"loss": 0.1976,
|
| 2648 |
+
"step": 3760
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 0.7,
|
| 2652 |
+
"grad_norm": 0.26259544491767883,
|
| 2653 |
+
"learning_rate": 9.340429470566458e-05,
|
| 2654 |
+
"loss": 0.1984,
|
| 2655 |
+
"step": 3770
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 0.7,
|
| 2659 |
+
"grad_norm": 0.6756144165992737,
|
| 2660 |
+
"learning_rate": 9.33857830433173e-05,
|
| 2661 |
+
"loss": 0.1986,
|
| 2662 |
+
"step": 3780
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 0.7,
|
| 2666 |
+
"grad_norm": 0.6026384234428406,
|
| 2667 |
+
"learning_rate": 9.336727138097001e-05,
|
| 2668 |
+
"loss": 0.1957,
|
| 2669 |
+
"step": 3790
|
| 2670 |
+
},
|
| 2671 |
+
{
|
| 2672 |
+
"epoch": 0.7,
|
| 2673 |
+
"grad_norm": 0.5947535037994385,
|
| 2674 |
+
"learning_rate": 9.334875971862273e-05,
|
| 2675 |
+
"loss": 0.195,
|
| 2676 |
+
"step": 3800
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 0.7,
|
| 2680 |
+
"grad_norm": 0.6168169379234314,
|
| 2681 |
+
"learning_rate": 9.333024805627546e-05,
|
| 2682 |
+
"loss": 0.1951,
|
| 2683 |
+
"step": 3810
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 0.7,
|
| 2687 |
+
"grad_norm": 1.3259109258651733,
|
| 2688 |
+
"learning_rate": 9.331173639392818e-05,
|
| 2689 |
+
"loss": 0.197,
|
| 2690 |
+
"step": 3820
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 0.71,
|
| 2694 |
+
"grad_norm": 0.5684218406677246,
|
| 2695 |
+
"learning_rate": 9.32932247315809e-05,
|
| 2696 |
+
"loss": 0.198,
|
| 2697 |
+
"step": 3830
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 0.71,
|
| 2701 |
+
"grad_norm": 1.8599364757537842,
|
| 2702 |
+
"learning_rate": 9.327471306923363e-05,
|
| 2703 |
+
"loss": 0.2114,
|
| 2704 |
+
"step": 3840
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 0.71,
|
| 2708 |
+
"grad_norm": 0.33460474014282227,
|
| 2709 |
+
"learning_rate": 9.325620140688634e-05,
|
| 2710 |
+
"loss": 0.1891,
|
| 2711 |
+
"step": 3850
|
| 2712 |
+
},
|
| 2713 |
+
{
|
| 2714 |
+
"epoch": 0.71,
|
| 2715 |
+
"grad_norm": 2.3144965171813965,
|
| 2716 |
+
"learning_rate": 9.323768974453907e-05,
|
| 2717 |
+
"loss": 0.1831,
|
| 2718 |
+
"step": 3860
|
| 2719 |
+
},
|
| 2720 |
+
{
|
| 2721 |
+
"epoch": 0.71,
|
| 2722 |
+
"grad_norm": 0.7101608514785767,
|
| 2723 |
+
"learning_rate": 9.321917808219178e-05,
|
| 2724 |
+
"loss": 0.2025,
|
| 2725 |
+
"step": 3870
|
| 2726 |
+
},
|
| 2727 |
+
{
|
| 2728 |
+
"epoch": 0.72,
|
| 2729 |
+
"grad_norm": 0.42260223627090454,
|
| 2730 |
+
"learning_rate": 9.320066641984451e-05,
|
| 2731 |
+
"loss": 0.2095,
|
| 2732 |
+
"step": 3880
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 0.72,
|
| 2736 |
+
"grad_norm": 0.473034143447876,
|
| 2737 |
+
"learning_rate": 9.318215475749723e-05,
|
| 2738 |
+
"loss": 0.1965,
|
| 2739 |
+
"step": 3890
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 0.72,
|
| 2743 |
+
"grad_norm": 0.4022839665412903,
|
| 2744 |
+
"learning_rate": 9.316364309514994e-05,
|
| 2745 |
+
"loss": 0.1877,
|
| 2746 |
+
"step": 3900
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 0.72,
|
| 2750 |
+
"grad_norm": 0.41458505392074585,
|
| 2751 |
+
"learning_rate": 9.314513143280267e-05,
|
| 2752 |
+
"loss": 0.1973,
|
| 2753 |
+
"step": 3910
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 0.72,
|
| 2757 |
+
"grad_norm": 0.46193191409111023,
|
| 2758 |
+
"learning_rate": 9.312661977045539e-05,
|
| 2759 |
+
"loss": 0.2133,
|
| 2760 |
+
"step": 3920
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 0.72,
|
| 2764 |
+
"grad_norm": 1.0600367784500122,
|
| 2765 |
+
"learning_rate": 9.310810810810812e-05,
|
| 2766 |
+
"loss": 0.1895,
|
| 2767 |
+
"step": 3930
|
| 2768 |
+
},
|
| 2769 |
+
{
|
| 2770 |
+
"epoch": 0.73,
|
| 2771 |
+
"grad_norm": 0.3262641429901123,
|
| 2772 |
+
"learning_rate": 9.308959644576083e-05,
|
| 2773 |
+
"loss": 0.1975,
|
| 2774 |
+
"step": 3940
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 0.73,
|
| 2778 |
+
"grad_norm": 1.1876827478408813,
|
| 2779 |
+
"learning_rate": 9.307108478341356e-05,
|
| 2780 |
+
"loss": 0.1916,
|
| 2781 |
+
"step": 3950
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 0.73,
|
| 2785 |
+
"grad_norm": 0.6535803079605103,
|
| 2786 |
+
"learning_rate": 9.305257312106627e-05,
|
| 2787 |
+
"loss": 0.1966,
|
| 2788 |
+
"step": 3960
|
| 2789 |
+
},
|
| 2790 |
+
{
|
| 2791 |
+
"epoch": 0.73,
|
| 2792 |
+
"grad_norm": 0.4089249074459076,
|
| 2793 |
+
"learning_rate": 9.3034061458719e-05,
|
| 2794 |
+
"loss": 0.195,
|
| 2795 |
+
"step": 3970
|
| 2796 |
+
},
|
| 2797 |
+
{
|
| 2798 |
+
"epoch": 0.73,
|
| 2799 |
+
"grad_norm": 1.0222320556640625,
|
| 2800 |
+
"learning_rate": 9.301554979637171e-05,
|
| 2801 |
+
"loss": 0.193,
|
| 2802 |
+
"step": 3980
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 0.74,
|
| 2806 |
+
"grad_norm": 1.0429261922836304,
|
| 2807 |
+
"learning_rate": 9.299703813402444e-05,
|
| 2808 |
+
"loss": 0.2039,
|
| 2809 |
+
"step": 3990
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 0.74,
|
| 2813 |
+
"grad_norm": 2.6728320121765137,
|
| 2814 |
+
"learning_rate": 9.297852647167716e-05,
|
| 2815 |
+
"loss": 0.1963,
|
| 2816 |
+
"step": 4000
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 0.74,
|
| 2820 |
+
"grad_norm": 0.4279372990131378,
|
| 2821 |
+
"learning_rate": 9.296001480932989e-05,
|
| 2822 |
+
"loss": 0.1895,
|
| 2823 |
+
"step": 4010
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 0.74,
|
| 2827 |
+
"grad_norm": 0.4307747781276703,
|
| 2828 |
+
"learning_rate": 9.29415031469826e-05,
|
| 2829 |
+
"loss": 0.1967,
|
| 2830 |
+
"step": 4020
|
| 2831 |
+
},
|
| 2832 |
+
{
|
| 2833 |
+
"epoch": 0.74,
|
| 2834 |
+
"grad_norm": 0.44748997688293457,
|
| 2835 |
+
"learning_rate": 9.292299148463532e-05,
|
| 2836 |
+
"loss": 0.1945,
|
| 2837 |
+
"step": 4030
|
| 2838 |
+
},
|
| 2839 |
+
{
|
| 2840 |
+
"epoch": 0.75,
|
| 2841 |
+
"grad_norm": 0.3396751284599304,
|
| 2842 |
+
"learning_rate": 9.290447982228805e-05,
|
| 2843 |
+
"loss": 0.1901,
|
| 2844 |
+
"step": 4040
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 0.75,
|
| 2848 |
+
"grad_norm": 1.2306305170059204,
|
| 2849 |
+
"learning_rate": 9.288596815994076e-05,
|
| 2850 |
+
"loss": 0.1915,
|
| 2851 |
+
"step": 4050
|
| 2852 |
+
},
|
| 2853 |
+
{
|
| 2854 |
+
"epoch": 0.75,
|
| 2855 |
+
"grad_norm": 1.0502023696899414,
|
| 2856 |
+
"learning_rate": 9.286745649759349e-05,
|
| 2857 |
+
"loss": 0.2001,
|
| 2858 |
+
"step": 4060
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 0.75,
|
| 2862 |
+
"grad_norm": 0.2933097779750824,
|
| 2863 |
+
"learning_rate": 9.28489448352462e-05,
|
| 2864 |
+
"loss": 0.1911,
|
| 2865 |
+
"step": 4070
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 0.75,
|
| 2869 |
+
"grad_norm": 0.7432071566581726,
|
| 2870 |
+
"learning_rate": 9.283043317289894e-05,
|
| 2871 |
+
"loss": 0.1882,
|
| 2872 |
+
"step": 4080
|
| 2873 |
+
},
|
| 2874 |
+
{
|
| 2875 |
+
"epoch": 0.75,
|
| 2876 |
+
"grad_norm": 1.2065651416778564,
|
| 2877 |
+
"learning_rate": 9.281192151055165e-05,
|
| 2878 |
+
"loss": 0.2026,
|
| 2879 |
+
"step": 4090
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 0.76,
|
| 2883 |
+
"grad_norm": 0.331061452627182,
|
| 2884 |
+
"learning_rate": 9.279340984820437e-05,
|
| 2885 |
+
"loss": 0.1941,
|
| 2886 |
+
"step": 4100
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 0.76,
|
| 2890 |
+
"grad_norm": 0.819383978843689,
|
| 2891 |
+
"learning_rate": 9.27748981858571e-05,
|
| 2892 |
+
"loss": 0.1951,
|
| 2893 |
+
"step": 4110
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"epoch": 0.76,
|
| 2897 |
+
"grad_norm": 0.4251770079135895,
|
| 2898 |
+
"learning_rate": 9.275638652350982e-05,
|
| 2899 |
+
"loss": 0.1976,
|
| 2900 |
+
"step": 4120
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 0.76,
|
| 2904 |
+
"grad_norm": 1.0525916814804077,
|
| 2905 |
+
"learning_rate": 9.273787486116254e-05,
|
| 2906 |
+
"loss": 0.1998,
|
| 2907 |
+
"step": 4130
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 0.76,
|
| 2911 |
+
"grad_norm": 1.4899557828903198,
|
| 2912 |
+
"learning_rate": 9.271936319881525e-05,
|
| 2913 |
+
"loss": 0.1933,
|
| 2914 |
+
"step": 4140
|
| 2915 |
+
},
|
| 2916 |
+
{
|
| 2917 |
+
"epoch": 0.77,
|
| 2918 |
+
"grad_norm": 0.8893213272094727,
|
| 2919 |
+
"learning_rate": 9.270085153646798e-05,
|
| 2920 |
+
"loss": 0.1943,
|
| 2921 |
+
"step": 4150
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 0.77,
|
| 2925 |
+
"grad_norm": 0.6278595924377441,
|
| 2926 |
+
"learning_rate": 9.26823398741207e-05,
|
| 2927 |
+
"loss": 0.1973,
|
| 2928 |
+
"step": 4160
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 0.77,
|
| 2932 |
+
"grad_norm": 1.8130468130111694,
|
| 2933 |
+
"learning_rate": 9.266382821177342e-05,
|
| 2934 |
+
"loss": 0.1954,
|
| 2935 |
+
"step": 4170
|
| 2936 |
+
},
|
| 2937 |
+
{
|
| 2938 |
+
"epoch": 0.77,
|
| 2939 |
+
"grad_norm": 1.0211946964263916,
|
| 2940 |
+
"learning_rate": 9.264531654942615e-05,
|
| 2941 |
+
"loss": 0.1937,
|
| 2942 |
+
"step": 4180
|
| 2943 |
+
},
|
| 2944 |
+
{
|
| 2945 |
+
"epoch": 0.77,
|
| 2946 |
+
"grad_norm": 0.3028915226459503,
|
| 2947 |
+
"learning_rate": 9.262680488707887e-05,
|
| 2948 |
+
"loss": 0.208,
|
| 2949 |
+
"step": 4190
|
| 2950 |
+
},
|
| 2951 |
+
{
|
| 2952 |
+
"epoch": 0.77,
|
| 2953 |
+
"grad_norm": 0.33269938826560974,
|
| 2954 |
+
"learning_rate": 9.26082932247316e-05,
|
| 2955 |
+
"loss": 0.2032,
|
| 2956 |
+
"step": 4200
|
| 2957 |
+
},
|
| 2958 |
+
{
|
| 2959 |
+
"epoch": 0.78,
|
| 2960 |
+
"grad_norm": 0.9252434372901917,
|
| 2961 |
+
"learning_rate": 9.25897815623843e-05,
|
| 2962 |
+
"loss": 0.2018,
|
| 2963 |
+
"step": 4210
|
| 2964 |
+
},
|
| 2965 |
+
{
|
| 2966 |
+
"epoch": 0.78,
|
| 2967 |
+
"grad_norm": 1.3774528503417969,
|
| 2968 |
+
"learning_rate": 9.257126990003703e-05,
|
| 2969 |
+
"loss": 0.1895,
|
| 2970 |
+
"step": 4220
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 0.78,
|
| 2974 |
+
"grad_norm": 1.9812060594558716,
|
| 2975 |
+
"learning_rate": 9.255275823768975e-05,
|
| 2976 |
+
"loss": 0.1951,
|
| 2977 |
+
"step": 4230
|
| 2978 |
+
},
|
| 2979 |
+
{
|
| 2980 |
+
"epoch": 0.78,
|
| 2981 |
+
"grad_norm": 1.7997092008590698,
|
| 2982 |
+
"learning_rate": 9.253424657534247e-05,
|
| 2983 |
+
"loss": 0.2014,
|
| 2984 |
+
"step": 4240
|
| 2985 |
+
},
|
| 2986 |
+
{
|
| 2987 |
+
"epoch": 0.78,
|
| 2988 |
+
"grad_norm": 0.35307908058166504,
|
| 2989 |
+
"learning_rate": 9.251573491299518e-05,
|
| 2990 |
+
"loss": 0.2026,
|
| 2991 |
+
"step": 4250
|
| 2992 |
+
},
|
| 2993 |
+
{
|
| 2994 |
+
"epoch": 0.79,
|
| 2995 |
+
"grad_norm": 0.906162440776825,
|
| 2996 |
+
"learning_rate": 9.249722325064791e-05,
|
| 2997 |
+
"loss": 0.1892,
|
| 2998 |
+
"step": 4260
|
| 2999 |
+
},
|
| 3000 |
+
{
|
| 3001 |
+
"epoch": 0.79,
|
| 3002 |
+
"grad_norm": 0.8749983906745911,
|
| 3003 |
+
"learning_rate": 9.247871158830063e-05,
|
| 3004 |
+
"loss": 0.2037,
|
| 3005 |
+
"step": 4270
|
| 3006 |
+
},
|
| 3007 |
+
{
|
| 3008 |
+
"epoch": 0.79,
|
| 3009 |
+
"grad_norm": 1.1504167318344116,
|
| 3010 |
+
"learning_rate": 9.246019992595335e-05,
|
| 3011 |
+
"loss": 0.1942,
|
| 3012 |
+
"step": 4280
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 0.79,
|
| 3016 |
+
"grad_norm": 0.6674988865852356,
|
| 3017 |
+
"learning_rate": 9.244168826360608e-05,
|
| 3018 |
+
"loss": 0.1974,
|
| 3019 |
+
"step": 4290
|
| 3020 |
+
},
|
| 3021 |
+
{
|
| 3022 |
+
"epoch": 0.79,
|
| 3023 |
+
"grad_norm": 1.0109151601791382,
|
| 3024 |
+
"learning_rate": 9.24231766012588e-05,
|
| 3025 |
+
"loss": 0.1937,
|
| 3026 |
+
"step": 4300
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 0.79,
|
| 3030 |
+
"grad_norm": 0.5439345836639404,
|
| 3031 |
+
"learning_rate": 9.240466493891153e-05,
|
| 3032 |
+
"loss": 0.1825,
|
| 3033 |
+
"step": 4310
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"epoch": 0.8,
|
| 3037 |
+
"grad_norm": 0.3471992015838623,
|
| 3038 |
+
"learning_rate": 9.238615327656423e-05,
|
| 3039 |
+
"loss": 0.1932,
|
| 3040 |
+
"step": 4320
|
| 3041 |
+
},
|
| 3042 |
+
{
|
| 3043 |
+
"epoch": 0.8,
|
| 3044 |
+
"grad_norm": 0.5230699181556702,
|
| 3045 |
+
"learning_rate": 9.236764161421696e-05,
|
| 3046 |
+
"loss": 0.1869,
|
| 3047 |
+
"step": 4330
|
| 3048 |
+
},
|
| 3049 |
+
{
|
| 3050 |
+
"epoch": 0.8,
|
| 3051 |
+
"grad_norm": 1.1102708578109741,
|
| 3052 |
+
"learning_rate": 9.234912995186968e-05,
|
| 3053 |
+
"loss": 0.1934,
|
| 3054 |
+
"step": 4340
|
| 3055 |
+
},
|
| 3056 |
+
{
|
| 3057 |
+
"epoch": 0.8,
|
| 3058 |
+
"grad_norm": 0.2299565076828003,
|
| 3059 |
+
"learning_rate": 9.233061828952241e-05,
|
| 3060 |
+
"loss": 0.1946,
|
| 3061 |
+
"step": 4350
|
| 3062 |
+
},
|
| 3063 |
+
{
|
| 3064 |
+
"epoch": 0.8,
|
| 3065 |
+
"grad_norm": 2.019484281539917,
|
| 3066 |
+
"learning_rate": 9.231210662717513e-05,
|
| 3067 |
+
"loss": 0.2005,
|
| 3068 |
+
"step": 4360
|
| 3069 |
+
},
|
| 3070 |
+
{
|
| 3071 |
+
"epoch": 0.81,
|
| 3072 |
+
"grad_norm": 0.49182599782943726,
|
| 3073 |
+
"learning_rate": 9.229359496482784e-05,
|
| 3074 |
+
"loss": 0.1862,
|
| 3075 |
+
"step": 4370
|
| 3076 |
+
},
|
| 3077 |
+
{
|
| 3078 |
+
"epoch": 0.81,
|
| 3079 |
+
"grad_norm": 1.1424809694290161,
|
| 3080 |
+
"learning_rate": 9.227508330248058e-05,
|
| 3081 |
+
"loss": 0.1857,
|
| 3082 |
+
"step": 4380
|
| 3083 |
+
},
|
| 3084 |
+
{
|
| 3085 |
+
"epoch": 0.81,
|
| 3086 |
+
"grad_norm": 0.5882079601287842,
|
| 3087 |
+
"learning_rate": 9.225657164013329e-05,
|
| 3088 |
+
"loss": 0.1866,
|
| 3089 |
+
"step": 4390
|
| 3090 |
+
},
|
| 3091 |
+
{
|
| 3092 |
+
"epoch": 0.81,
|
| 3093 |
+
"grad_norm": 0.8041399717330933,
|
| 3094 |
+
"learning_rate": 9.223805997778601e-05,
|
| 3095 |
+
"loss": 0.1882,
|
| 3096 |
+
"step": 4400
|
| 3097 |
+
},
|
| 3098 |
+
{
|
| 3099 |
+
"epoch": 0.81,
|
| 3100 |
+
"grad_norm": 1.2162193059921265,
|
| 3101 |
+
"learning_rate": 9.221954831543873e-05,
|
| 3102 |
+
"loss": 0.1893,
|
| 3103 |
+
"step": 4410
|
| 3104 |
+
},
|
| 3105 |
+
{
|
| 3106 |
+
"epoch": 0.82,
|
| 3107 |
+
"grad_norm": 0.516737163066864,
|
| 3108 |
+
"learning_rate": 9.220103665309146e-05,
|
| 3109 |
+
"loss": 0.1954,
|
| 3110 |
+
"step": 4420
|
| 3111 |
+
},
|
| 3112 |
+
{
|
| 3113 |
+
"epoch": 0.82,
|
| 3114 |
+
"grad_norm": 0.78972327709198,
|
| 3115 |
+
"learning_rate": 9.218252499074416e-05,
|
| 3116 |
+
"loss": 0.1959,
|
| 3117 |
+
"step": 4430
|
| 3118 |
+
},
|
| 3119 |
+
{
|
| 3120 |
+
"epoch": 0.82,
|
| 3121 |
+
"grad_norm": 1.6012400388717651,
|
| 3122 |
+
"learning_rate": 9.216401332839689e-05,
|
| 3123 |
+
"loss": 0.2035,
|
| 3124 |
+
"step": 4440
|
| 3125 |
+
},
|
| 3126 |
+
{
|
| 3127 |
+
"epoch": 0.82,
|
| 3128 |
+
"grad_norm": 0.8954785466194153,
|
| 3129 |
+
"learning_rate": 9.214550166604961e-05,
|
| 3130 |
+
"loss": 0.1922,
|
| 3131 |
+
"step": 4450
|
| 3132 |
+
},
|
| 3133 |
+
{
|
| 3134 |
+
"epoch": 0.82,
|
| 3135 |
+
"grad_norm": 0.6251717805862427,
|
| 3136 |
+
"learning_rate": 9.212699000370234e-05,
|
| 3137 |
+
"loss": 0.1898,
|
| 3138 |
+
"step": 4460
|
| 3139 |
+
},
|
| 3140 |
+
{
|
| 3141 |
+
"epoch": 0.82,
|
| 3142 |
+
"grad_norm": 1.7891993522644043,
|
| 3143 |
+
"learning_rate": 9.210847834135506e-05,
|
| 3144 |
+
"loss": 0.2006,
|
| 3145 |
+
"step": 4470
|
| 3146 |
+
},
|
| 3147 |
+
{
|
| 3148 |
+
"epoch": 0.83,
|
| 3149 |
+
"grad_norm": 0.3996617794036865,
|
| 3150 |
+
"learning_rate": 9.208996667900777e-05,
|
| 3151 |
+
"loss": 0.2078,
|
| 3152 |
+
"step": 4480
|
| 3153 |
+
},
|
| 3154 |
+
{
|
| 3155 |
+
"epoch": 0.83,
|
| 3156 |
+
"grad_norm": 1.112613320350647,
|
| 3157 |
+
"learning_rate": 9.20714550166605e-05,
|
| 3158 |
+
"loss": 0.2025,
|
| 3159 |
+
"step": 4490
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"epoch": 0.83,
|
| 3163 |
+
"grad_norm": 0.3055773079395294,
|
| 3164 |
+
"learning_rate": 9.205294335431322e-05,
|
| 3165 |
+
"loss": 0.193,
|
| 3166 |
+
"step": 4500
|
| 3167 |
+
},
|
| 3168 |
+
{
|
| 3169 |
+
"epoch": 0.83,
|
| 3170 |
+
"grad_norm": 0.9582087993621826,
|
| 3171 |
+
"learning_rate": 9.203443169196594e-05,
|
| 3172 |
+
"loss": 0.1899,
|
| 3173 |
+
"step": 4510
|
| 3174 |
+
},
|
| 3175 |
+
{
|
| 3176 |
+
"epoch": 0.83,
|
| 3177 |
+
"grad_norm": 0.7985404133796692,
|
| 3178 |
+
"learning_rate": 9.201592002961866e-05,
|
| 3179 |
+
"loss": 0.1868,
|
| 3180 |
+
"step": 4520
|
| 3181 |
+
},
|
| 3182 |
+
{
|
| 3183 |
+
"epoch": 0.84,
|
| 3184 |
+
"grad_norm": 1.6095155477523804,
|
| 3185 |
+
"learning_rate": 9.199740836727139e-05,
|
| 3186 |
+
"loss": 0.1899,
|
| 3187 |
+
"step": 4530
|
| 3188 |
+
},
|
| 3189 |
+
{
|
| 3190 |
+
"epoch": 0.84,
|
| 3191 |
+
"grad_norm": 0.6676468849182129,
|
| 3192 |
+
"learning_rate": 9.19788967049241e-05,
|
| 3193 |
+
"loss": 0.1969,
|
| 3194 |
+
"step": 4540
|
| 3195 |
+
},
|
| 3196 |
+
{
|
| 3197 |
+
"epoch": 0.84,
|
| 3198 |
+
"grad_norm": 1.045982003211975,
|
| 3199 |
+
"learning_rate": 9.196038504257682e-05,
|
| 3200 |
+
"loss": 0.1814,
|
| 3201 |
+
"step": 4550
|
| 3202 |
+
},
|
| 3203 |
+
{
|
| 3204 |
+
"epoch": 0.84,
|
| 3205 |
+
"grad_norm": 0.7359940409660339,
|
| 3206 |
+
"learning_rate": 9.194187338022955e-05,
|
| 3207 |
+
"loss": 0.1865,
|
| 3208 |
+
"step": 4560
|
| 3209 |
+
},
|
| 3210 |
+
{
|
| 3211 |
+
"epoch": 0.84,
|
| 3212 |
+
"grad_norm": 0.9083600044250488,
|
| 3213 |
+
"learning_rate": 9.192336171788227e-05,
|
| 3214 |
+
"loss": 0.2012,
|
| 3215 |
+
"step": 4570
|
| 3216 |
+
},
|
| 3217 |
+
{
|
| 3218 |
+
"epoch": 0.84,
|
| 3219 |
+
"grad_norm": 0.340991348028183,
|
| 3220 |
+
"learning_rate": 9.1904850055535e-05,
|
| 3221 |
+
"loss": 0.1892,
|
| 3222 |
+
"step": 4580
|
| 3223 |
+
},
|
| 3224 |
+
{
|
| 3225 |
+
"epoch": 0.85,
|
| 3226 |
+
"grad_norm": 0.2833189368247986,
|
| 3227 |
+
"learning_rate": 9.18863383931877e-05,
|
| 3228 |
+
"loss": 0.1888,
|
| 3229 |
+
"step": 4590
|
| 3230 |
+
},
|
| 3231 |
+
{
|
| 3232 |
+
"epoch": 0.85,
|
| 3233 |
+
"grad_norm": 0.6355910301208496,
|
| 3234 |
+
"learning_rate": 9.186782673084044e-05,
|
| 3235 |
+
"loss": 0.2041,
|
| 3236 |
+
"step": 4600
|
| 3237 |
+
},
|
| 3238 |
+
{
|
| 3239 |
+
"epoch": 0.85,
|
| 3240 |
+
"grad_norm": 0.7121712565422058,
|
| 3241 |
+
"learning_rate": 9.184931506849315e-05,
|
| 3242 |
+
"loss": 0.1783,
|
| 3243 |
+
"step": 4610
|
| 3244 |
+
},
|
| 3245 |
+
{
|
| 3246 |
+
"epoch": 0.85,
|
| 3247 |
+
"grad_norm": 0.8881193399429321,
|
| 3248 |
+
"learning_rate": 9.183080340614587e-05,
|
| 3249 |
+
"loss": 0.1981,
|
| 3250 |
+
"step": 4620
|
| 3251 |
+
},
|
| 3252 |
+
{
|
| 3253 |
+
"epoch": 0.85,
|
| 3254 |
+
"grad_norm": 1.2488733530044556,
|
| 3255 |
+
"learning_rate": 9.18122917437986e-05,
|
| 3256 |
+
"loss": 0.2016,
|
| 3257 |
+
"step": 4630
|
| 3258 |
+
},
|
| 3259 |
+
{
|
| 3260 |
+
"epoch": 0.86,
|
| 3261 |
+
"grad_norm": 0.283454567193985,
|
| 3262 |
+
"learning_rate": 9.179378008145132e-05,
|
| 3263 |
+
"loss": 0.1966,
|
| 3264 |
+
"step": 4640
|
| 3265 |
+
},
|
| 3266 |
+
{
|
| 3267 |
+
"epoch": 0.86,
|
| 3268 |
+
"grad_norm": 0.306062787771225,
|
| 3269 |
+
"learning_rate": 9.177526841910405e-05,
|
| 3270 |
+
"loss": 0.193,
|
| 3271 |
+
"step": 4650
|
| 3272 |
+
},
|
| 3273 |
+
{
|
| 3274 |
+
"epoch": 0.86,
|
| 3275 |
+
"grad_norm": 0.45514628291130066,
|
| 3276 |
+
"learning_rate": 9.175675675675675e-05,
|
| 3277 |
+
"loss": 0.192,
|
| 3278 |
+
"step": 4660
|
| 3279 |
+
},
|
| 3280 |
+
{
|
| 3281 |
+
"epoch": 0.86,
|
| 3282 |
+
"grad_norm": 0.6448143124580383,
|
| 3283 |
+
"learning_rate": 9.173824509440948e-05,
|
| 3284 |
+
"loss": 0.1996,
|
| 3285 |
+
"step": 4670
|
| 3286 |
+
},
|
| 3287 |
+
{
|
| 3288 |
+
"epoch": 0.86,
|
| 3289 |
+
"grad_norm": 0.8043811321258545,
|
| 3290 |
+
"learning_rate": 9.17197334320622e-05,
|
| 3291 |
+
"loss": 0.1973,
|
| 3292 |
+
"step": 4680
|
| 3293 |
+
},
|
| 3294 |
+
{
|
| 3295 |
+
"epoch": 0.86,
|
| 3296 |
+
"grad_norm": 0.3627445101737976,
|
| 3297 |
+
"learning_rate": 9.170122176971493e-05,
|
| 3298 |
+
"loss": 0.1864,
|
| 3299 |
+
"step": 4690
|
| 3300 |
+
},
|
| 3301 |
+
{
|
| 3302 |
+
"epoch": 0.87,
|
| 3303 |
+
"grad_norm": 1.8266276121139526,
|
| 3304 |
+
"learning_rate": 9.168271010736764e-05,
|
| 3305 |
+
"loss": 0.1939,
|
| 3306 |
+
"step": 4700
|
| 3307 |
+
},
|
| 3308 |
+
{
|
| 3309 |
+
"epoch": 0.87,
|
| 3310 |
+
"grad_norm": 0.8964821100234985,
|
| 3311 |
+
"learning_rate": 9.166419844502037e-05,
|
| 3312 |
+
"loss": 0.21,
|
| 3313 |
+
"step": 4710
|
| 3314 |
+
},
|
| 3315 |
+
{
|
| 3316 |
+
"epoch": 0.87,
|
| 3317 |
+
"grad_norm": 2.066237449645996,
|
| 3318 |
+
"learning_rate": 9.164568678267308e-05,
|
| 3319 |
+
"loss": 0.2042,
|
| 3320 |
+
"step": 4720
|
| 3321 |
+
},
|
| 3322 |
+
{
|
| 3323 |
+
"epoch": 0.87,
|
| 3324 |
+
"grad_norm": 0.5604624152183533,
|
| 3325 |
+
"learning_rate": 9.162717512032582e-05,
|
| 3326 |
+
"loss": 0.195,
|
| 3327 |
+
"step": 4730
|
| 3328 |
+
},
|
| 3329 |
+
{
|
| 3330 |
+
"epoch": 0.87,
|
| 3331 |
+
"grad_norm": 0.3185977041721344,
|
| 3332 |
+
"learning_rate": 9.160866345797853e-05,
|
| 3333 |
+
"loss": 0.1913,
|
| 3334 |
+
"step": 4740
|
| 3335 |
+
},
|
| 3336 |
+
{
|
| 3337 |
+
"epoch": 0.88,
|
| 3338 |
+
"grad_norm": 0.7183963060379028,
|
| 3339 |
+
"learning_rate": 9.159015179563125e-05,
|
| 3340 |
+
"loss": 0.1893,
|
| 3341 |
+
"step": 4750
|
| 3342 |
+
},
|
| 3343 |
+
{
|
| 3344 |
+
"epoch": 0.88,
|
| 3345 |
+
"grad_norm": 0.30005547404289246,
|
| 3346 |
+
"learning_rate": 9.157164013328398e-05,
|
| 3347 |
+
"loss": 0.2004,
|
| 3348 |
+
"step": 4760
|
| 3349 |
+
},
|
| 3350 |
+
{
|
| 3351 |
+
"epoch": 0.88,
|
| 3352 |
+
"grad_norm": 1.1535359621047974,
|
| 3353 |
+
"learning_rate": 9.15531284709367e-05,
|
| 3354 |
+
"loss": 0.1859,
|
| 3355 |
+
"step": 4770
|
| 3356 |
+
},
|
| 3357 |
+
{
|
| 3358 |
+
"epoch": 0.88,
|
| 3359 |
+
"grad_norm": 0.46643924713134766,
|
| 3360 |
+
"learning_rate": 9.153461680858941e-05,
|
| 3361 |
+
"loss": 0.198,
|
| 3362 |
+
"step": 4780
|
| 3363 |
+
},
|
| 3364 |
+
{
|
| 3365 |
+
"epoch": 0.88,
|
| 3366 |
+
"grad_norm": 0.45236846804618835,
|
| 3367 |
+
"learning_rate": 9.151610514624213e-05,
|
| 3368 |
+
"loss": 0.1911,
|
| 3369 |
+
"step": 4790
|
| 3370 |
+
},
|
| 3371 |
+
{
|
| 3372 |
+
"epoch": 0.89,
|
| 3373 |
+
"grad_norm": 0.8338435888290405,
|
| 3374 |
+
"learning_rate": 9.149759348389486e-05,
|
| 3375 |
+
"loss": 0.1944,
|
| 3376 |
+
"step": 4800
|
| 3377 |
+
},
|
| 3378 |
+
{
|
| 3379 |
+
"epoch": 0.89,
|
| 3380 |
+
"grad_norm": 1.7582203149795532,
|
| 3381 |
+
"learning_rate": 9.147908182154758e-05,
|
| 3382 |
+
"loss": 0.1973,
|
| 3383 |
+
"step": 4810
|
| 3384 |
+
},
|
| 3385 |
+
{
|
| 3386 |
+
"epoch": 0.89,
|
| 3387 |
+
"grad_norm": 1.3786252737045288,
|
| 3388 |
+
"learning_rate": 9.14605701592003e-05,
|
| 3389 |
+
"loss": 0.1867,
|
| 3390 |
+
"step": 4820
|
| 3391 |
+
},
|
| 3392 |
+
{
|
| 3393 |
+
"epoch": 0.89,
|
| 3394 |
+
"grad_norm": 0.376365602016449,
|
| 3395 |
+
"learning_rate": 9.144205849685303e-05,
|
| 3396 |
+
"loss": 0.1831,
|
| 3397 |
+
"step": 4830
|
| 3398 |
+
},
|
| 3399 |
+
{
|
| 3400 |
+
"epoch": 0.89,
|
| 3401 |
+
"grad_norm": 0.7689598798751831,
|
| 3402 |
+
"learning_rate": 9.142354683450575e-05,
|
| 3403 |
+
"loss": 0.1911,
|
| 3404 |
+
"step": 4840
|
| 3405 |
+
},
|
| 3406 |
+
{
|
| 3407 |
+
"epoch": 0.89,
|
| 3408 |
+
"grad_norm": 0.9973986744880676,
|
| 3409 |
+
"learning_rate": 9.140503517215846e-05,
|
| 3410 |
+
"loss": 0.1984,
|
| 3411 |
+
"step": 4850
|
| 3412 |
+
},
|
| 3413 |
+
{
|
| 3414 |
+
"epoch": 0.9,
|
| 3415 |
+
"grad_norm": 2.4425342082977295,
|
| 3416 |
+
"learning_rate": 9.138652350981118e-05,
|
| 3417 |
+
"loss": 0.1927,
|
| 3418 |
+
"step": 4860
|
| 3419 |
+
},
|
| 3420 |
+
{
|
| 3421 |
+
"epoch": 0.9,
|
| 3422 |
+
"grad_norm": 0.4806678295135498,
|
| 3423 |
+
"learning_rate": 9.136801184746391e-05,
|
| 3424 |
+
"loss": 0.1857,
|
| 3425 |
+
"step": 4870
|
| 3426 |
+
},
|
| 3427 |
+
{
|
| 3428 |
+
"epoch": 0.9,
|
| 3429 |
+
"grad_norm": 0.6703113913536072,
|
| 3430 |
+
"learning_rate": 9.134950018511663e-05,
|
| 3431 |
+
"loss": 0.1924,
|
| 3432 |
+
"step": 4880
|
| 3433 |
+
},
|
| 3434 |
+
{
|
| 3435 |
+
"epoch": 0.9,
|
| 3436 |
+
"grad_norm": 0.6484790444374084,
|
| 3437 |
+
"learning_rate": 9.133098852276935e-05,
|
| 3438 |
+
"loss": 0.1774,
|
| 3439 |
+
"step": 4890
|
| 3440 |
+
},
|
| 3441 |
+
{
|
| 3442 |
+
"epoch": 0.9,
|
| 3443 |
+
"grad_norm": 1.3424222469329834,
|
| 3444 |
+
"learning_rate": 9.131247686042206e-05,
|
| 3445 |
+
"loss": 0.1834,
|
| 3446 |
+
"step": 4900
|
| 3447 |
+
},
|
| 3448 |
+
{
|
| 3449 |
+
"epoch": 0.91,
|
| 3450 |
+
"grad_norm": 1.3998688459396362,
|
| 3451 |
+
"learning_rate": 9.12939651980748e-05,
|
| 3452 |
+
"loss": 0.1856,
|
| 3453 |
+
"step": 4910
|
| 3454 |
+
},
|
| 3455 |
+
{
|
| 3456 |
+
"epoch": 0.91,
|
| 3457 |
+
"grad_norm": 0.37422481179237366,
|
| 3458 |
+
"learning_rate": 9.127545353572751e-05,
|
| 3459 |
+
"loss": 0.1875,
|
| 3460 |
+
"step": 4920
|
| 3461 |
+
},
|
| 3462 |
+
{
|
| 3463 |
+
"epoch": 0.91,
|
| 3464 |
+
"grad_norm": 1.2003308534622192,
|
| 3465 |
+
"learning_rate": 9.125694187338023e-05,
|
| 3466 |
+
"loss": 0.1886,
|
| 3467 |
+
"step": 4930
|
| 3468 |
+
},
|
| 3469 |
+
{
|
| 3470 |
+
"epoch": 0.91,
|
| 3471 |
+
"grad_norm": 1.248398780822754,
|
| 3472 |
+
"learning_rate": 9.123843021103296e-05,
|
| 3473 |
+
"loss": 0.1918,
|
| 3474 |
+
"step": 4940
|
| 3475 |
+
},
|
| 3476 |
+
{
|
| 3477 |
+
"epoch": 0.91,
|
| 3478 |
+
"grad_norm": 0.6824427247047424,
|
| 3479 |
+
"learning_rate": 9.121991854868568e-05,
|
| 3480 |
+
"loss": 0.1795,
|
| 3481 |
+
"step": 4950
|
| 3482 |
+
},
|
| 3483 |
+
{
|
| 3484 |
+
"epoch": 0.91,
|
| 3485 |
+
"grad_norm": 0.5873004794120789,
|
| 3486 |
+
"learning_rate": 9.120140688633841e-05,
|
| 3487 |
+
"loss": 0.1958,
|
| 3488 |
+
"step": 4960
|
| 3489 |
+
},
|
| 3490 |
+
{
|
| 3491 |
+
"epoch": 0.92,
|
| 3492 |
+
"grad_norm": 0.7316002249717712,
|
| 3493 |
+
"learning_rate": 9.118289522399111e-05,
|
| 3494 |
+
"loss": 0.1794,
|
| 3495 |
+
"step": 4970
|
| 3496 |
+
},
|
| 3497 |
+
{
|
| 3498 |
+
"epoch": 0.92,
|
| 3499 |
+
"grad_norm": 0.40432649850845337,
|
| 3500 |
+
"learning_rate": 9.116438356164384e-05,
|
| 3501 |
+
"loss": 0.1845,
|
| 3502 |
+
"step": 4980
|
| 3503 |
+
},
|
| 3504 |
+
{
|
| 3505 |
+
"epoch": 0.92,
|
| 3506 |
+
"grad_norm": 1.2551237344741821,
|
| 3507 |
+
"learning_rate": 9.114587189929656e-05,
|
| 3508 |
+
"loss": 0.1847,
|
| 3509 |
+
"step": 4990
|
| 3510 |
+
},
|
| 3511 |
+
{
|
| 3512 |
+
"epoch": 0.92,
|
| 3513 |
+
"grad_norm": 1.0834324359893799,
|
| 3514 |
+
"learning_rate": 9.112736023694928e-05,
|
| 3515 |
+
"loss": 0.1942,
|
| 3516 |
+
"step": 5000
|
| 3517 |
+
},
|
| 3518 |
+
{
|
| 3519 |
+
"epoch": 0.92,
|
| 3520 |
+
"grad_norm": 0.5848122835159302,
|
| 3521 |
+
"learning_rate": 9.110884857460201e-05,
|
| 3522 |
+
"loss": 0.1909,
|
| 3523 |
+
"step": 5010
|
| 3524 |
+
},
|
| 3525 |
+
{
|
| 3526 |
+
"epoch": 0.93,
|
| 3527 |
+
"grad_norm": 0.34502893686294556,
|
| 3528 |
+
"learning_rate": 9.109033691225472e-05,
|
| 3529 |
+
"loss": 0.1954,
|
| 3530 |
+
"step": 5020
|
| 3531 |
+
},
|
| 3532 |
+
{
|
| 3533 |
+
"epoch": 0.93,
|
| 3534 |
+
"grad_norm": 0.7165638208389282,
|
| 3535 |
+
"learning_rate": 9.107182524990745e-05,
|
| 3536 |
+
"loss": 0.1856,
|
| 3537 |
+
"step": 5030
|
| 3538 |
+
},
|
| 3539 |
+
{
|
| 3540 |
+
"epoch": 0.93,
|
| 3541 |
+
"grad_norm": 1.3096377849578857,
|
| 3542 |
+
"learning_rate": 9.105331358756016e-05,
|
| 3543 |
+
"loss": 0.1865,
|
| 3544 |
+
"step": 5040
|
| 3545 |
+
},
|
| 3546 |
+
{
|
| 3547 |
+
"epoch": 0.93,
|
| 3548 |
+
"grad_norm": 2.7340123653411865,
|
| 3549 |
+
"learning_rate": 9.103480192521289e-05,
|
| 3550 |
+
"loss": 0.1957,
|
| 3551 |
+
"step": 5050
|
| 3552 |
+
},
|
| 3553 |
+
{
|
| 3554 |
+
"epoch": 0.93,
|
| 3555 |
+
"grad_norm": 0.3616611361503601,
|
| 3556 |
+
"learning_rate": 9.101629026286561e-05,
|
| 3557 |
+
"loss": 0.1967,
|
| 3558 |
+
"step": 5060
|
| 3559 |
+
},
|
| 3560 |
+
{
|
| 3561 |
+
"epoch": 0.94,
|
| 3562 |
+
"grad_norm": 0.4186195731163025,
|
| 3563 |
+
"learning_rate": 9.099777860051834e-05,
|
| 3564 |
+
"loss": 0.186,
|
| 3565 |
+
"step": 5070
|
| 3566 |
+
},
|
| 3567 |
+
{
|
| 3568 |
+
"epoch": 0.94,
|
| 3569 |
+
"grad_norm": 0.2687035799026489,
|
| 3570 |
+
"learning_rate": 9.097926693817105e-05,
|
| 3571 |
+
"loss": 0.1873,
|
| 3572 |
+
"step": 5080
|
| 3573 |
+
},
|
| 3574 |
+
{
|
| 3575 |
+
"epoch": 0.94,
|
| 3576 |
+
"grad_norm": 1.4722837209701538,
|
| 3577 |
+
"learning_rate": 9.096075527582377e-05,
|
| 3578 |
+
"loss": 0.1881,
|
| 3579 |
+
"step": 5090
|
| 3580 |
+
},
|
| 3581 |
+
{
|
| 3582 |
+
"epoch": 0.94,
|
| 3583 |
+
"grad_norm": 1.3331010341644287,
|
| 3584 |
+
"learning_rate": 9.09422436134765e-05,
|
| 3585 |
+
"loss": 0.1979,
|
| 3586 |
+
"step": 5100
|
| 3587 |
+
},
|
| 3588 |
+
{
|
| 3589 |
+
"epoch": 0.94,
|
| 3590 |
+
"grad_norm": 0.7769159078598022,
|
| 3591 |
+
"learning_rate": 9.092373195112922e-05,
|
| 3592 |
+
"loss": 0.1957,
|
| 3593 |
+
"step": 5110
|
| 3594 |
+
},
|
| 3595 |
+
{
|
| 3596 |
+
"epoch": 0.94,
|
| 3597 |
+
"grad_norm": 0.9742639064788818,
|
| 3598 |
+
"learning_rate": 9.090522028878194e-05,
|
| 3599 |
+
"loss": 0.1883,
|
| 3600 |
+
"step": 5120
|
| 3601 |
+
},
|
| 3602 |
+
{
|
| 3603 |
+
"epoch": 0.95,
|
| 3604 |
+
"grad_norm": 0.4907156527042389,
|
| 3605 |
+
"learning_rate": 9.088670862643465e-05,
|
| 3606 |
+
"loss": 0.1885,
|
| 3607 |
+
"step": 5130
|
| 3608 |
+
},
|
| 3609 |
+
{
|
| 3610 |
+
"epoch": 0.95,
|
| 3611 |
+
"grad_norm": 1.0384258031845093,
|
| 3612 |
+
"learning_rate": 9.086819696408739e-05,
|
| 3613 |
+
"loss": 0.183,
|
| 3614 |
+
"step": 5140
|
| 3615 |
+
},
|
| 3616 |
+
{
|
| 3617 |
+
"epoch": 0.95,
|
| 3618 |
+
"grad_norm": 0.6687269806861877,
|
| 3619 |
+
"learning_rate": 9.084968530174009e-05,
|
| 3620 |
+
"loss": 0.1986,
|
| 3621 |
+
"step": 5150
|
| 3622 |
+
},
|
| 3623 |
+
{
|
| 3624 |
+
"epoch": 0.95,
|
| 3625 |
+
"grad_norm": 0.49845072627067566,
|
| 3626 |
+
"learning_rate": 9.083117363939282e-05,
|
| 3627 |
+
"loss": 0.1897,
|
| 3628 |
+
"step": 5160
|
| 3629 |
+
},
|
| 3630 |
+
{
|
| 3631 |
+
"epoch": 0.95,
|
| 3632 |
+
"grad_norm": 0.3812813460826874,
|
| 3633 |
+
"learning_rate": 9.081266197704554e-05,
|
| 3634 |
+
"loss": 0.1959,
|
| 3635 |
+
"step": 5170
|
| 3636 |
+
},
|
| 3637 |
+
{
|
| 3638 |
+
"epoch": 0.96,
|
| 3639 |
+
"grad_norm": 1.7052239179611206,
|
| 3640 |
+
"learning_rate": 9.079415031469827e-05,
|
| 3641 |
+
"loss": 0.1955,
|
| 3642 |
+
"step": 5180
|
| 3643 |
+
},
|
| 3644 |
+
{
|
| 3645 |
+
"epoch": 0.96,
|
| 3646 |
+
"grad_norm": 0.8822137713432312,
|
| 3647 |
+
"learning_rate": 9.077563865235099e-05,
|
| 3648 |
+
"loss": 0.1809,
|
| 3649 |
+
"step": 5190
|
| 3650 |
+
},
|
| 3651 |
+
{
|
| 3652 |
+
"epoch": 0.96,
|
| 3653 |
+
"grad_norm": 1.1971176862716675,
|
| 3654 |
+
"learning_rate": 9.07571269900037e-05,
|
| 3655 |
+
"loss": 0.192,
|
| 3656 |
+
"step": 5200
|
| 3657 |
+
},
|
| 3658 |
+
{
|
| 3659 |
+
"epoch": 0.96,
|
| 3660 |
+
"grad_norm": 0.6374858021736145,
|
| 3661 |
+
"learning_rate": 9.073861532765643e-05,
|
| 3662 |
+
"loss": 0.1938,
|
| 3663 |
+
"step": 5210
|
| 3664 |
+
},
|
| 3665 |
+
{
|
| 3666 |
+
"epoch": 0.96,
|
| 3667 |
+
"grad_norm": 0.6527014970779419,
|
| 3668 |
+
"learning_rate": 9.072010366530915e-05,
|
| 3669 |
+
"loss": 0.1933,
|
| 3670 |
+
"step": 5220
|
| 3671 |
+
},
|
| 3672 |
+
{
|
| 3673 |
+
"epoch": 0.96,
|
| 3674 |
+
"grad_norm": 0.628654956817627,
|
| 3675 |
+
"learning_rate": 9.070159200296187e-05,
|
| 3676 |
+
"loss": 0.1794,
|
| 3677 |
+
"step": 5230
|
| 3678 |
+
},
|
| 3679 |
+
{
|
| 3680 |
+
"epoch": 0.97,
|
| 3681 |
+
"grad_norm": 0.7301254272460938,
|
| 3682 |
+
"learning_rate": 9.068308034061459e-05,
|
| 3683 |
+
"loss": 0.2051,
|
| 3684 |
+
"step": 5240
|
| 3685 |
+
},
|
| 3686 |
+
{
|
| 3687 |
+
"epoch": 0.97,
|
| 3688 |
+
"grad_norm": 1.1322051286697388,
|
| 3689 |
+
"learning_rate": 9.066456867826732e-05,
|
| 3690 |
+
"loss": 0.1811,
|
| 3691 |
+
"step": 5250
|
| 3692 |
+
},
|
| 3693 |
+
{
|
| 3694 |
+
"epoch": 0.97,
|
| 3695 |
+
"grad_norm": 0.5501244068145752,
|
| 3696 |
+
"learning_rate": 9.064605701592003e-05,
|
| 3697 |
+
"loss": 0.1868,
|
| 3698 |
+
"step": 5260
|
| 3699 |
+
},
|
| 3700 |
+
{
|
| 3701 |
+
"epoch": 0.97,
|
| 3702 |
+
"grad_norm": 0.9664620161056519,
|
| 3703 |
+
"learning_rate": 9.062754535357275e-05,
|
| 3704 |
+
"loss": 0.1907,
|
| 3705 |
+
"step": 5270
|
| 3706 |
+
},
|
| 3707 |
+
{
|
| 3708 |
+
"epoch": 0.97,
|
| 3709 |
+
"grad_norm": 0.3740132749080658,
|
| 3710 |
+
"learning_rate": 9.060903369122548e-05,
|
| 3711 |
+
"loss": 0.1796,
|
| 3712 |
+
"step": 5280
|
| 3713 |
+
},
|
| 3714 |
+
{
|
| 3715 |
+
"epoch": 0.98,
|
| 3716 |
+
"grad_norm": 0.9004091024398804,
|
| 3717 |
+
"learning_rate": 9.05905220288782e-05,
|
| 3718 |
+
"loss": 0.1814,
|
| 3719 |
+
"step": 5290
|
| 3720 |
+
},
|
| 3721 |
+
{
|
| 3722 |
+
"epoch": 0.98,
|
| 3723 |
+
"grad_norm": 0.5110592246055603,
|
| 3724 |
+
"learning_rate": 9.057201036653093e-05,
|
| 3725 |
+
"loss": 0.1897,
|
| 3726 |
+
"step": 5300
|
| 3727 |
+
},
|
| 3728 |
+
{
|
| 3729 |
+
"epoch": 0.98,
|
| 3730 |
+
"grad_norm": 0.6021327972412109,
|
| 3731 |
+
"learning_rate": 9.055349870418363e-05,
|
| 3732 |
+
"loss": 0.1848,
|
| 3733 |
+
"step": 5310
|
| 3734 |
+
},
|
| 3735 |
+
{
|
| 3736 |
+
"epoch": 0.98,
|
| 3737 |
+
"grad_norm": 1.157943844795227,
|
| 3738 |
+
"learning_rate": 9.053498704183636e-05,
|
| 3739 |
+
"loss": 0.175,
|
| 3740 |
+
"step": 5320
|
| 3741 |
+
},
|
| 3742 |
+
{
|
| 3743 |
+
"epoch": 0.98,
|
| 3744 |
+
"grad_norm": 0.6326828598976135,
|
| 3745 |
+
"learning_rate": 9.051647537948908e-05,
|
| 3746 |
+
"loss": 0.1884,
|
| 3747 |
+
"step": 5330
|
| 3748 |
+
},
|
| 3749 |
+
{
|
| 3750 |
+
"epoch": 0.98,
|
| 3751 |
+
"grad_norm": 0.37102219462394714,
|
| 3752 |
+
"learning_rate": 9.04979637171418e-05,
|
| 3753 |
+
"loss": 0.194,
|
| 3754 |
+
"step": 5340
|
| 3755 |
+
},
|
| 3756 |
+
{
|
| 3757 |
+
"epoch": 0.99,
|
| 3758 |
+
"grad_norm": 0.9475340247154236,
|
| 3759 |
+
"learning_rate": 9.047945205479452e-05,
|
| 3760 |
+
"loss": 0.1971,
|
| 3761 |
+
"step": 5350
|
| 3762 |
+
},
|
| 3763 |
+
{
|
| 3764 |
+
"epoch": 0.99,
|
| 3765 |
+
"grad_norm": 0.4836327135562897,
|
| 3766 |
+
"learning_rate": 9.046094039244725e-05,
|
| 3767 |
+
"loss": 0.1909,
|
| 3768 |
+
"step": 5360
|
| 3769 |
+
},
|
| 3770 |
+
{
|
| 3771 |
+
"epoch": 0.99,
|
| 3772 |
+
"grad_norm": 1.3864704370498657,
|
| 3773 |
+
"learning_rate": 9.044242873009996e-05,
|
| 3774 |
+
"loss": 0.1874,
|
| 3775 |
+
"step": 5370
|
| 3776 |
+
},
|
| 3777 |
+
{
|
| 3778 |
+
"epoch": 0.99,
|
| 3779 |
+
"grad_norm": 0.7823747992515564,
|
| 3780 |
+
"learning_rate": 9.042391706775268e-05,
|
| 3781 |
+
"loss": 0.1911,
|
| 3782 |
+
"step": 5380
|
| 3783 |
+
},
|
| 3784 |
+
{
|
| 3785 |
+
"epoch": 0.99,
|
| 3786 |
+
"grad_norm": 0.9502007365226746,
|
| 3787 |
+
"learning_rate": 9.040540540540541e-05,
|
| 3788 |
+
"loss": 0.1815,
|
| 3789 |
+
"step": 5390
|
| 3790 |
+
},
|
| 3791 |
+
{
|
| 3792 |
+
"epoch": 1.0,
|
| 3793 |
+
"grad_norm": 1.5369421243667603,
|
| 3794 |
+
"learning_rate": 9.038689374305813e-05,
|
| 3795 |
+
"loss": 0.1865,
|
| 3796 |
+
"step": 5400
|
| 3797 |
+
},
|
| 3798 |
+
{
|
| 3799 |
+
"epoch": 1.0,
|
| 3800 |
+
"grad_norm": 0.3976035416126251,
|
| 3801 |
+
"learning_rate": 9.036838208071086e-05,
|
| 3802 |
+
"loss": 0.1835,
|
| 3803 |
+
"step": 5410
|
| 3804 |
+
},
|
| 3805 |
+
{
|
| 3806 |
+
"epoch": 1.0,
|
| 3807 |
+
"grad_norm": 0.5696306824684143,
|
| 3808 |
+
"learning_rate": 9.034987041836356e-05,
|
| 3809 |
+
"loss": 0.1761,
|
| 3810 |
+
"step": 5420
|
| 3811 |
+
},
|
| 3812 |
+
{
|
| 3813 |
+
"epoch": 1.0,
|
| 3814 |
+
"eval_loss": 0.3201138377189636,
|
| 3815 |
+
"eval_runtime": 3918.2947,
|
| 3816 |
+
"eval_samples_per_second": 262.734,
|
| 3817 |
+
"eval_steps_per_second": 4.105,
|
| 3818 |
+
"step": 5422
|
| 3819 |
+
}
|
| 3820 |
+
],
|
| 3821 |
+
"logging_steps": 10,
|
| 3822 |
+
"max_steps": 54220,
|
| 3823 |
+
"num_input_tokens_seen": 0,
|
| 3824 |
+
"num_train_epochs": 10,
|
| 3825 |
+
"save_steps": 500,
|
| 3826 |
+
"total_flos": 2.3125260009084027e+18,
|
| 3827 |
+
"train_batch_size": 6,
|
| 3828 |
+
"trial_name": null,
|
| 3829 |
+
"trial_params": null
|
| 3830 |
+
}
|