Training in progress, epoch 5, checkpoint
Browse files- checkpoint-17995/README.md +202 -0
- checkpoint-17995/adapter_config.json +32 -0
- checkpoint-17995/adapter_model.safetensors +3 -0
- checkpoint-17995/optimizer.pt +3 -0
- checkpoint-17995/rng_state_0.pth +3 -0
- checkpoint-17995/rng_state_1.pth +3 -0
- checkpoint-17995/rng_state_2.pth +3 -0
- checkpoint-17995/rng_state_3.pth +3 -0
- checkpoint-17995/rng_state_4.pth +3 -0
- checkpoint-17995/rng_state_5.pth +3 -0
- checkpoint-17995/rng_state_6.pth +3 -0
- checkpoint-17995/rng_state_7.pth +3 -0
- checkpoint-17995/scheduler.pt +3 -0
- checkpoint-17995/trainer_state.json +374 -0
- checkpoint-17995/training_args.bin +3 -0
checkpoint-17995/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: deepseek-ai/deepseek-coder-1.3b-base
|
| 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 0.14.0
|
checkpoint-17995/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 32,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 8,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"q_proj",
|
| 27 |
+
"v_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
checkpoint-17995/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:072920db33d1c39e1c868708d9351796ed082c330d3a54f5bbd60d8a08bdbae7
|
| 3 |
+
size 268636736
|
checkpoint-17995/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a810beb745ae6201a8a0b5ac0c829cc53e03e45b08165d9750b2e44856e8424
|
| 3 |
+
size 12663802
|
checkpoint-17995/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36cd9894038513e6c1df5d02be900db1f0aaeb8ce713689829435e110fbcc847
|
| 3 |
+
size 15984
|
checkpoint-17995/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7c7d2e7ee1302de9962645b40f8807e4d8cdde1daccf3ab0a633a8525a4707d
|
| 3 |
+
size 15984
|
checkpoint-17995/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14eea875dd49dfa45527e275dcc9b54ab2a646290d1d7be6a31bbca796982c72
|
| 3 |
+
size 15984
|
checkpoint-17995/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e42e2a091e90c8dd40ab7f4bc071009dbafa07ba94e6330458de38dab13d67d
|
| 3 |
+
size 15984
|
checkpoint-17995/rng_state_4.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a0a40d9f48a85893ce4e6fbe1905fb175da676b974033842f3f2f1d0c76541b
|
| 3 |
+
size 15984
|
checkpoint-17995/rng_state_5.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e5634c812073e7f1ecfc3ecb7c13f68877b47a0291a3ff292ad4d034c770a14
|
| 3 |
+
size 15984
|
checkpoint-17995/rng_state_6.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4105a1a67328e8494fb936959fb84f5ca0c277e2c430549292ccae80cf8b8e29
|
| 3 |
+
size 15984
|
checkpoint-17995/rng_state_7.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d340df9d52a95e9d22a17e9c23d9cbd841648070785daa25e775a725dd358086
|
| 3 |
+
size 15984
|
checkpoint-17995/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35659eb440cfe0791ec2656886f811d9349b1607ae0e03af0f9208c75e9b2ad1
|
| 3 |
+
size 1064
|
checkpoint-17995/trainer_state.json
ADDED
|
@@ -0,0 +1,374 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 1440,
|
| 6 |
+
"global_step": 17995,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.13892747985551543,
|
| 13 |
+
"grad_norm": 0.9003118872642517,
|
| 14 |
+
"learning_rate": 0.000795387607668797,
|
| 15 |
+
"loss": 0.4296,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.27785495971103086,
|
| 20 |
+
"grad_norm": 2.5679404735565186,
|
| 21 |
+
"learning_rate": 0.0007907566916736131,
|
| 22 |
+
"loss": 0.3243,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.4001111419838844,
|
| 27 |
+
"eval_loss": 0.2947143018245697,
|
| 28 |
+
"eval_runtime": 5.7176,
|
| 29 |
+
"eval_samples_per_second": 87.449,
|
| 30 |
+
"eval_steps_per_second": 5.597,
|
| 31 |
+
"step": 1440
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.41678243956654626,
|
| 35 |
+
"grad_norm": 0.6454382538795471,
|
| 36 |
+
"learning_rate": 0.0007861257756784293,
|
| 37 |
+
"loss": 0.2985,
|
| 38 |
+
"step": 1500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.5557099194220617,
|
| 42 |
+
"grad_norm": 0.6851354837417603,
|
| 43 |
+
"learning_rate": 0.0007815041215152357,
|
| 44 |
+
"loss": 0.2829,
|
| 45 |
+
"step": 2000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.6946373992775771,
|
| 49 |
+
"grad_norm": 0.7469644546508789,
|
| 50 |
+
"learning_rate": 0.0007768732055200519,
|
| 51 |
+
"loss": 0.2737,
|
| 52 |
+
"step": 2500
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.8002222839677688,
|
| 56 |
+
"eval_loss": 0.2755357623100281,
|
| 57 |
+
"eval_runtime": 5.6548,
|
| 58 |
+
"eval_samples_per_second": 88.421,
|
| 59 |
+
"eval_steps_per_second": 5.659,
|
| 60 |
+
"step": 2880
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.8335648791330925,
|
| 64 |
+
"grad_norm": 0.6683129072189331,
|
| 65 |
+
"learning_rate": 0.0007722422895248681,
|
| 66 |
+
"loss": 0.2653,
|
| 67 |
+
"step": 3000
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 0.972492358988608,
|
| 71 |
+
"grad_norm": 0.7536308169364929,
|
| 72 |
+
"learning_rate": 0.0007676113735296843,
|
| 73 |
+
"loss": 0.2628,
|
| 74 |
+
"step": 3500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.1114198388441234,
|
| 78 |
+
"grad_norm": 0.6173604726791382,
|
| 79 |
+
"learning_rate": 0.0007629804575345004,
|
| 80 |
+
"loss": 0.2463,
|
| 81 |
+
"step": 4000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.2003334259516532,
|
| 85 |
+
"eval_loss": 0.2620045840740204,
|
| 86 |
+
"eval_runtime": 5.6897,
|
| 87 |
+
"eval_samples_per_second": 87.877,
|
| 88 |
+
"eval_steps_per_second": 5.624,
|
| 89 |
+
"step": 4320
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 1.2503473186996388,
|
| 93 |
+
"grad_norm": 0.9441823363304138,
|
| 94 |
+
"learning_rate": 0.0007583495415393165,
|
| 95 |
+
"loss": 0.2476,
|
| 96 |
+
"step": 4500
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 1.3892747985551543,
|
| 100 |
+
"grad_norm": 1.179303526878357,
|
| 101 |
+
"learning_rate": 0.0007537186255441327,
|
| 102 |
+
"loss": 0.2448,
|
| 103 |
+
"step": 5000
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 1.5282022784106695,
|
| 107 |
+
"grad_norm": 0.9045144319534302,
|
| 108 |
+
"learning_rate": 0.0007490877095489488,
|
| 109 |
+
"loss": 0.2389,
|
| 110 |
+
"step": 5500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 1.6004445679355377,
|
| 114 |
+
"eval_loss": 0.25695353746414185,
|
| 115 |
+
"eval_runtime": 5.6542,
|
| 116 |
+
"eval_samples_per_second": 88.43,
|
| 117 |
+
"eval_steps_per_second": 5.66,
|
| 118 |
+
"step": 5760
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 1.667129758266185,
|
| 122 |
+
"grad_norm": 0.6623045206069946,
|
| 123 |
+
"learning_rate": 0.0007444660553857554,
|
| 124 |
+
"loss": 0.2409,
|
| 125 |
+
"step": 6000
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 1.8060572381217006,
|
| 129 |
+
"grad_norm": 0.6902622580528259,
|
| 130 |
+
"learning_rate": 0.0007398351393905715,
|
| 131 |
+
"loss": 0.234,
|
| 132 |
+
"step": 6500
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 1.9449847179772157,
|
| 136 |
+
"grad_norm": 0.7465945482254028,
|
| 137 |
+
"learning_rate": 0.0007352042233953876,
|
| 138 |
+
"loss": 0.2342,
|
| 139 |
+
"step": 7000
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.000555709919422,
|
| 143 |
+
"eval_loss": 0.25181135535240173,
|
| 144 |
+
"eval_runtime": 5.6993,
|
| 145 |
+
"eval_samples_per_second": 87.731,
|
| 146 |
+
"eval_steps_per_second": 5.615,
|
| 147 |
+
"step": 7200
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 2.0839121978327313,
|
| 151 |
+
"grad_norm": 0.7666770219802856,
|
| 152 |
+
"learning_rate": 0.0007305825692321942,
|
| 153 |
+
"loss": 0.226,
|
| 154 |
+
"step": 7500
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 2.222839677688247,
|
| 158 |
+
"grad_norm": 0.6436336636543274,
|
| 159 |
+
"learning_rate": 0.0007259516532370103,
|
| 160 |
+
"loss": 0.2247,
|
| 161 |
+
"step": 8000
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 2.361767157543762,
|
| 165 |
+
"grad_norm": 0.6064488291740417,
|
| 166 |
+
"learning_rate": 0.0007213207372418264,
|
| 167 |
+
"loss": 0.2237,
|
| 168 |
+
"step": 8500
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 2.4006668519033063,
|
| 172 |
+
"eval_loss": 0.24924051761627197,
|
| 173 |
+
"eval_runtime": 5.9651,
|
| 174 |
+
"eval_samples_per_second": 83.821,
|
| 175 |
+
"eval_steps_per_second": 5.365,
|
| 176 |
+
"step": 8640
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 2.5006946373992776,
|
| 180 |
+
"grad_norm": 1.0091792345046997,
|
| 181 |
+
"learning_rate": 0.0007166898212466426,
|
| 182 |
+
"loss": 0.2203,
|
| 183 |
+
"step": 9000
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 2.639622117254793,
|
| 187 |
+
"grad_norm": 0.8089786767959595,
|
| 188 |
+
"learning_rate": 0.0007120589052514588,
|
| 189 |
+
"loss": 0.2196,
|
| 190 |
+
"step": 9500
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 2.7785495971103087,
|
| 194 |
+
"grad_norm": 0.5441291928291321,
|
| 195 |
+
"learning_rate": 0.0007074372510882653,
|
| 196 |
+
"loss": 0.2216,
|
| 197 |
+
"step": 10000
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 2.800777993887191,
|
| 201 |
+
"eval_loss": 0.2379860281944275,
|
| 202 |
+
"eval_runtime": 5.6823,
|
| 203 |
+
"eval_samples_per_second": 87.992,
|
| 204 |
+
"eval_steps_per_second": 5.632,
|
| 205 |
+
"step": 10080
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 2.917477076965824,
|
| 209 |
+
"grad_norm": 0.5629907250404358,
|
| 210 |
+
"learning_rate": 0.0007028063350930814,
|
| 211 |
+
"loss": 0.2209,
|
| 212 |
+
"step": 10500
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 3.0564045568213394,
|
| 216 |
+
"grad_norm": 0.7793105840682983,
|
| 217 |
+
"learning_rate": 0.0006981754190978975,
|
| 218 |
+
"loss": 0.2153,
|
| 219 |
+
"step": 11000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 3.1953320366768545,
|
| 223 |
+
"grad_norm": 0.5668399333953857,
|
| 224 |
+
"learning_rate": 0.0006935445031027137,
|
| 225 |
+
"loss": 0.2104,
|
| 226 |
+
"step": 11500
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 3.2008891358710754,
|
| 230 |
+
"eval_loss": 0.23175135254859924,
|
| 231 |
+
"eval_runtime": 5.6868,
|
| 232 |
+
"eval_samples_per_second": 87.922,
|
| 233 |
+
"eval_steps_per_second": 5.627,
|
| 234 |
+
"step": 11520
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 3.33425951653237,
|
| 238 |
+
"grad_norm": 0.8093000650405884,
|
| 239 |
+
"learning_rate": 0.0006889228489395203,
|
| 240 |
+
"loss": 0.2136,
|
| 241 |
+
"step": 12000
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 3.4731869963878856,
|
| 245 |
+
"grad_norm": 0.9104741215705872,
|
| 246 |
+
"learning_rate": 0.0006842919329443364,
|
| 247 |
+
"loss": 0.2076,
|
| 248 |
+
"step": 12500
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 3.6010002778549595,
|
| 252 |
+
"eval_loss": 0.22807475924491882,
|
| 253 |
+
"eval_runtime": 5.7081,
|
| 254 |
+
"eval_samples_per_second": 87.595,
|
| 255 |
+
"eval_steps_per_second": 5.606,
|
| 256 |
+
"step": 12960
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 3.612114476243401,
|
| 260 |
+
"grad_norm": 0.688875675201416,
|
| 261 |
+
"learning_rate": 0.0006796610169491525,
|
| 262 |
+
"loss": 0.2109,
|
| 263 |
+
"step": 13000
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 3.7510419560989163,
|
| 267 |
+
"grad_norm": 0.985016405582428,
|
| 268 |
+
"learning_rate": 0.0006750301009539687,
|
| 269 |
+
"loss": 0.209,
|
| 270 |
+
"step": 13500
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 3.889969435954432,
|
| 274 |
+
"grad_norm": 0.792914628982544,
|
| 275 |
+
"learning_rate": 0.0006703991849587848,
|
| 276 |
+
"loss": 0.2087,
|
| 277 |
+
"step": 14000
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 4.001111419838844,
|
| 281 |
+
"eval_loss": 0.2299247533082962,
|
| 282 |
+
"eval_runtime": 5.9644,
|
| 283 |
+
"eval_samples_per_second": 83.831,
|
| 284 |
+
"eval_steps_per_second": 5.365,
|
| 285 |
+
"step": 14400
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 4.0288969158099475,
|
| 289 |
+
"grad_norm": 0.8050146698951721,
|
| 290 |
+
"learning_rate": 0.000665768268963601,
|
| 291 |
+
"loss": 0.2043,
|
| 292 |
+
"step": 14500
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 4.167824395665463,
|
| 296 |
+
"grad_norm": 0.6686243414878845,
|
| 297 |
+
"learning_rate": 0.0006611373529684172,
|
| 298 |
+
"loss": 0.1997,
|
| 299 |
+
"step": 15000
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 4.306751875520978,
|
| 303 |
+
"grad_norm": 0.5832377076148987,
|
| 304 |
+
"learning_rate": 0.0006565064369732334,
|
| 305 |
+
"loss": 0.2011,
|
| 306 |
+
"step": 15500
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 4.4012225618227285,
|
| 310 |
+
"eval_loss": 0.22105582058429718,
|
| 311 |
+
"eval_runtime": 5.6811,
|
| 312 |
+
"eval_samples_per_second": 88.011,
|
| 313 |
+
"eval_steps_per_second": 5.633,
|
| 314 |
+
"step": 15840
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 4.445679355376494,
|
| 318 |
+
"grad_norm": 0.5768308639526367,
|
| 319 |
+
"learning_rate": 0.0006518847828100398,
|
| 320 |
+
"loss": 0.2029,
|
| 321 |
+
"step": 16000
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 4.584606835232009,
|
| 325 |
+
"grad_norm": 0.7500970959663391,
|
| 326 |
+
"learning_rate": 0.000647253866814856,
|
| 327 |
+
"loss": 0.1985,
|
| 328 |
+
"step": 16500
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 4.723534315087524,
|
| 332 |
+
"grad_norm": 0.7904524207115173,
|
| 333 |
+
"learning_rate": 0.0006426322126516625,
|
| 334 |
+
"loss": 0.199,
|
| 335 |
+
"step": 17000
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 4.801333703806613,
|
| 339 |
+
"eval_loss": 0.2192094475030899,
|
| 340 |
+
"eval_runtime": 5.6808,
|
| 341 |
+
"eval_samples_per_second": 88.016,
|
| 342 |
+
"eval_steps_per_second": 5.633,
|
| 343 |
+
"step": 17280
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 4.86246179494304,
|
| 347 |
+
"grad_norm": 0.539150059223175,
|
| 348 |
+
"learning_rate": 0.0006380012966564787,
|
| 349 |
+
"loss": 0.2009,
|
| 350 |
+
"step": 17500
|
| 351 |
+
}
|
| 352 |
+
],
|
| 353 |
+
"logging_steps": 500,
|
| 354 |
+
"max_steps": 86376,
|
| 355 |
+
"num_input_tokens_seen": 0,
|
| 356 |
+
"num_train_epochs": 24,
|
| 357 |
+
"save_steps": 500,
|
| 358 |
+
"stateful_callbacks": {
|
| 359 |
+
"TrainerControl": {
|
| 360 |
+
"args": {
|
| 361 |
+
"should_epoch_stop": false,
|
| 362 |
+
"should_evaluate": false,
|
| 363 |
+
"should_log": false,
|
| 364 |
+
"should_save": true,
|
| 365 |
+
"should_training_stop": false
|
| 366 |
+
},
|
| 367 |
+
"attributes": {}
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"total_flos": 8.990495101503406e+17,
|
| 371 |
+
"train_batch_size": 2,
|
| 372 |
+
"trial_name": null,
|
| 373 |
+
"trial_params": null
|
| 374 |
+
}
|
checkpoint-17995/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:20f04554acd1689dfcf765ddfc83593c217e6ad8c0837409b2e0544a3f5759a0
|
| 3 |
+
size 5496
|