Training in progress, step 100, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +44 -0
- last-checkpoint/trainer_state.json +758 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: echarlaix/tiny-random-mistral
|
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 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "echarlaix/tiny-random-mistral",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
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": 32,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 16,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"down_proj",
|
24 |
+
"o_proj",
|
25 |
+
"v_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"up_proj",
|
28 |
+
"k_proj",
|
29 |
+
"q_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bd65cbe855dbb2f3bc791bbcb50233dbf0c13184a4870b43902f2a6876955782
|
3 |
+
size 58680
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4d8ff7191220b3ca5c2072ed2a9c79c68fd32a70dbc8954a7e086ff4021e5ef9
|
3 |
+
size 127270
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8ea9ad2ac832f617f70b61c1fe74b883cc09c0a5c101d9de5ace7d4b60a2201c
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eba1dfc2ac18f56219175a91f9095132453f3461c1af7409da878624c91a1be5
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"additional_special_tokens": [],
|
32 |
+
"bos_token": "<s>",
|
33 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
34 |
+
"clean_up_tokenization_spaces": false,
|
35 |
+
"eos_token": "</s>",
|
36 |
+
"legacy": true,
|
37 |
+
"model_max_length": 512,
|
38 |
+
"pad_token": "</s>",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"spaces_between_special_tokens": false,
|
41 |
+
"tokenizer_class": "LlamaTokenizer",
|
42 |
+
"unk_token": "<unk>",
|
43 |
+
"use_default_system_prompt": true
|
44 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,758 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 10.33371639251709,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
4 |
+
"epoch": 0.06855771702802296,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 100,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0006855771702802296,
|
13 |
+
"grad_norm": 0.36351898312568665,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 83.0589,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0006855771702802296,
|
20 |
+
"eval_loss": 10.380249977111816,
|
21 |
+
"eval_runtime": 5.8061,
|
22 |
+
"eval_samples_per_second": 334.991,
|
23 |
+
"eval_steps_per_second": 83.877,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.0013711543405604593,
|
28 |
+
"grad_norm": 0.3951256573200226,
|
29 |
+
"learning_rate": 4e-05,
|
30 |
+
"loss": 83.0577,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.002056731510840689,
|
35 |
+
"grad_norm": 0.3119139075279236,
|
36 |
+
"learning_rate": 6e-05,
|
37 |
+
"loss": 83.0589,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.0027423086811209185,
|
42 |
+
"grad_norm": 0.3688037395477295,
|
43 |
+
"learning_rate": 8e-05,
|
44 |
+
"loss": 83.0336,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.0034278858514011482,
|
49 |
+
"grad_norm": 0.34954655170440674,
|
50 |
+
"learning_rate": 0.0001,
|
51 |
+
"loss": 83.0636,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.004113463021681378,
|
56 |
+
"grad_norm": 0.5795670747756958,
|
57 |
+
"learning_rate": 0.00012,
|
58 |
+
"loss": 83.0244,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.004799040191961607,
|
63 |
+
"grad_norm": 0.5973196029663086,
|
64 |
+
"learning_rate": 0.00014,
|
65 |
+
"loss": 83.0251,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.005484617362241837,
|
70 |
+
"grad_norm": 0.3613422214984894,
|
71 |
+
"learning_rate": 0.00016,
|
72 |
+
"loss": 83.0207,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.006170194532522067,
|
77 |
+
"grad_norm": 0.343716561794281,
|
78 |
+
"learning_rate": 0.00018,
|
79 |
+
"loss": 83.0245,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.0068557717028022965,
|
84 |
+
"grad_norm": 0.33083033561706543,
|
85 |
+
"learning_rate": 0.0002,
|
86 |
+
"loss": 83.0321,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.007541348873082526,
|
91 |
+
"grad_norm": 0.4053819179534912,
|
92 |
+
"learning_rate": 0.0001999999293024975,
|
93 |
+
"loss": 83.0556,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.008226926043362757,
|
98 |
+
"grad_norm": 0.51999431848526,
|
99 |
+
"learning_rate": 0.00019999971721008995,
|
100 |
+
"loss": 83.0365,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.008912503213642986,
|
105 |
+
"grad_norm": 0.3934737741947174,
|
106 |
+
"learning_rate": 0.0001999993637230772,
|
107 |
+
"loss": 83.004,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.009598080383923215,
|
112 |
+
"grad_norm": 0.3956183195114136,
|
113 |
+
"learning_rate": 0.0001999988688419591,
|
114 |
+
"loss": 83.023,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.010283657554203445,
|
119 |
+
"grad_norm": 0.4016135632991791,
|
120 |
+
"learning_rate": 0.0001999982325674354,
|
121 |
+
"loss": 83.0232,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.010969234724483674,
|
126 |
+
"grad_norm": 0.5930947661399841,
|
127 |
+
"learning_rate": 0.00019999745490040575,
|
128 |
+
"loss": 83.021,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.011654811894763905,
|
133 |
+
"grad_norm": 0.4380247890949249,
|
134 |
+
"learning_rate": 0.0001999965358419697,
|
135 |
+
"loss": 83.037,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.012340389065044133,
|
140 |
+
"grad_norm": 0.5063841938972473,
|
141 |
+
"learning_rate": 0.00019999547539342678,
|
142 |
+
"loss": 83.001,
|
143 |
+
"step": 18
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.013025966235324364,
|
147 |
+
"grad_norm": 0.5023566484451294,
|
148 |
+
"learning_rate": 0.0001999942735562764,
|
149 |
+
"loss": 82.9911,
|
150 |
+
"step": 19
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.013711543405604593,
|
154 |
+
"grad_norm": 0.5627167224884033,
|
155 |
+
"learning_rate": 0.00019999293033221794,
|
156 |
+
"loss": 82.9783,
|
157 |
+
"step": 20
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.014397120575884824,
|
161 |
+
"grad_norm": 0.5391347408294678,
|
162 |
+
"learning_rate": 0.00019999144572315058,
|
163 |
+
"loss": 83.0373,
|
164 |
+
"step": 21
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.015082697746165052,
|
168 |
+
"grad_norm": 0.5616438388824463,
|
169 |
+
"learning_rate": 0.00019998981973117354,
|
170 |
+
"loss": 83.0013,
|
171 |
+
"step": 22
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.015768274916445283,
|
175 |
+
"grad_norm": 0.6237046718597412,
|
176 |
+
"learning_rate": 0.00019998805235858587,
|
177 |
+
"loss": 83.0045,
|
178 |
+
"step": 23
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.016453852086725514,
|
182 |
+
"grad_norm": 0.5459741950035095,
|
183 |
+
"learning_rate": 0.00019998614360788655,
|
184 |
+
"loss": 83.0175,
|
185 |
+
"step": 24
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.01713942925700574,
|
189 |
+
"grad_norm": 0.872555136680603,
|
190 |
+
"learning_rate": 0.00019998409348177446,
|
191 |
+
"loss": 82.9652,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.01782500642728597,
|
196 |
+
"grad_norm": 0.5654035806655884,
|
197 |
+
"learning_rate": 0.00019998190198314836,
|
198 |
+
"loss": 82.9913,
|
199 |
+
"step": 26
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.018510583597566202,
|
203 |
+
"grad_norm": 0.5857498645782471,
|
204 |
+
"learning_rate": 0.00019997956911510693,
|
205 |
+
"loss": 82.9889,
|
206 |
+
"step": 27
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.01919616076784643,
|
210 |
+
"grad_norm": 0.7002956867218018,
|
211 |
+
"learning_rate": 0.00019997709488094875,
|
212 |
+
"loss": 83.0047,
|
213 |
+
"step": 28
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.01988173793812666,
|
217 |
+
"grad_norm": 0.8561655879020691,
|
218 |
+
"learning_rate": 0.00019997447928417223,
|
219 |
+
"loss": 82.9631,
|
220 |
+
"step": 29
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.02056731510840689,
|
224 |
+
"grad_norm": 0.8862534165382385,
|
225 |
+
"learning_rate": 0.00019997172232847572,
|
226 |
+
"loss": 82.9846,
|
227 |
+
"step": 30
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.02125289227868712,
|
231 |
+
"grad_norm": 0.7887780666351318,
|
232 |
+
"learning_rate": 0.0001999688240177574,
|
233 |
+
"loss": 82.9772,
|
234 |
+
"step": 31
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.021938469448967348,
|
238 |
+
"grad_norm": 0.9154754281044006,
|
239 |
+
"learning_rate": 0.00019996578435611535,
|
240 |
+
"loss": 82.935,
|
241 |
+
"step": 32
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.02262404661924758,
|
245 |
+
"grad_norm": 0.9337428212165833,
|
246 |
+
"learning_rate": 0.0001999626033478475,
|
247 |
+
"loss": 82.9533,
|
248 |
+
"step": 33
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.02330962378952781,
|
252 |
+
"grad_norm": 1.1216437816619873,
|
253 |
+
"learning_rate": 0.00019995928099745159,
|
254 |
+
"loss": 82.947,
|
255 |
+
"step": 34
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.02399520095980804,
|
259 |
+
"grad_norm": 1.0084619522094727,
|
260 |
+
"learning_rate": 0.00019995581730962534,
|
261 |
+
"loss": 82.9543,
|
262 |
+
"step": 35
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.024680778130088267,
|
266 |
+
"grad_norm": 1.258359670639038,
|
267 |
+
"learning_rate": 0.00019995221228926615,
|
268 |
+
"loss": 82.923,
|
269 |
+
"step": 36
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.025366355300368498,
|
273 |
+
"grad_norm": 1.0110164880752563,
|
274 |
+
"learning_rate": 0.0001999484659414714,
|
275 |
+
"loss": 82.9634,
|
276 |
+
"step": 37
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.026051932470648728,
|
280 |
+
"grad_norm": 1.1539545059204102,
|
281 |
+
"learning_rate": 0.0001999445782715382,
|
282 |
+
"loss": 82.9287,
|
283 |
+
"step": 38
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.02673750964092896,
|
287 |
+
"grad_norm": 1.2447776794433594,
|
288 |
+
"learning_rate": 0.00019994054928496356,
|
289 |
+
"loss": 82.9139,
|
290 |
+
"step": 39
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.027423086811209186,
|
294 |
+
"grad_norm": 1.031395435333252,
|
295 |
+
"learning_rate": 0.00019993637898744422,
|
296 |
+
"loss": 82.9194,
|
297 |
+
"step": 40
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.028108663981489417,
|
301 |
+
"grad_norm": 1.1933457851409912,
|
302 |
+
"learning_rate": 0.0001999320673848768,
|
303 |
+
"loss": 82.8883,
|
304 |
+
"step": 41
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.028794241151769647,
|
308 |
+
"grad_norm": 1.208099365234375,
|
309 |
+
"learning_rate": 0.0001999276144833577,
|
310 |
+
"loss": 82.8746,
|
311 |
+
"step": 42
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.029479818322049874,
|
315 |
+
"grad_norm": 1.2985731363296509,
|
316 |
+
"learning_rate": 0.00019992302028918306,
|
317 |
+
"loss": 82.8655,
|
318 |
+
"step": 43
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.030165395492330105,
|
322 |
+
"grad_norm": 1.3268457651138306,
|
323 |
+
"learning_rate": 0.00019991828480884886,
|
324 |
+
"loss": 82.8727,
|
325 |
+
"step": 44
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.030850972662610335,
|
329 |
+
"grad_norm": 1.5395525693893433,
|
330 |
+
"learning_rate": 0.00019991340804905087,
|
331 |
+
"loss": 82.8438,
|
332 |
+
"step": 45
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.031536549832890566,
|
336 |
+
"grad_norm": 1.3432377576828003,
|
337 |
+
"learning_rate": 0.00019990839001668455,
|
338 |
+
"loss": 82.8557,
|
339 |
+
"step": 46
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.03222212700317079,
|
343 |
+
"grad_norm": 1.228340983390808,
|
344 |
+
"learning_rate": 0.00019990323071884513,
|
345 |
+
"loss": 82.8477,
|
346 |
+
"step": 47
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.03290770417345103,
|
350 |
+
"grad_norm": 1.165972352027893,
|
351 |
+
"learning_rate": 0.00019989793016282766,
|
352 |
+
"loss": 82.8203,
|
353 |
+
"step": 48
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.033593281343731254,
|
357 |
+
"grad_norm": 1.2316967248916626,
|
358 |
+
"learning_rate": 0.0001998924883561268,
|
359 |
+
"loss": 82.8391,
|
360 |
+
"step": 49
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.03427885851401148,
|
364 |
+
"grad_norm": 1.1616795063018799,
|
365 |
+
"learning_rate": 0.000199886905306437,
|
366 |
+
"loss": 82.8401,
|
367 |
+
"step": 50
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.034964435684291716,
|
371 |
+
"grad_norm": 1.1267406940460205,
|
372 |
+
"learning_rate": 0.00019988118102165243,
|
373 |
+
"loss": 82.7878,
|
374 |
+
"step": 51
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.03565001285457194,
|
378 |
+
"grad_norm": 1.056751012802124,
|
379 |
+
"learning_rate": 0.00019987531550986695,
|
380 |
+
"loss": 82.8061,
|
381 |
+
"step": 52
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.03633559002485217,
|
385 |
+
"grad_norm": 1.084269642829895,
|
386 |
+
"learning_rate": 0.00019986930877937412,
|
387 |
+
"loss": 82.7992,
|
388 |
+
"step": 53
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.037021167195132404,
|
392 |
+
"grad_norm": 1.086529016494751,
|
393 |
+
"learning_rate": 0.00019986316083866709,
|
394 |
+
"loss": 82.7702,
|
395 |
+
"step": 54
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.03770674436541263,
|
399 |
+
"grad_norm": 1.1006770133972168,
|
400 |
+
"learning_rate": 0.00019985687169643876,
|
401 |
+
"loss": 82.7045,
|
402 |
+
"step": 55
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.03839232153569286,
|
406 |
+
"grad_norm": 0.8518224358558655,
|
407 |
+
"learning_rate": 0.00019985044136158173,
|
408 |
+
"loss": 82.7466,
|
409 |
+
"step": 56
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.03907789870597309,
|
413 |
+
"grad_norm": 0.9785125851631165,
|
414 |
+
"learning_rate": 0.0001998438698431881,
|
415 |
+
"loss": 82.7519,
|
416 |
+
"step": 57
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.03976347587625332,
|
420 |
+
"grad_norm": 1.0152702331542969,
|
421 |
+
"learning_rate": 0.00019983715715054973,
|
422 |
+
"loss": 82.6894,
|
423 |
+
"step": 58
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.040449053046533553,
|
427 |
+
"grad_norm": 0.9950109124183655,
|
428 |
+
"learning_rate": 0.00019983030329315794,
|
429 |
+
"loss": 82.7456,
|
430 |
+
"step": 59
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.04113463021681378,
|
434 |
+
"grad_norm": 1.0026373863220215,
|
435 |
+
"learning_rate": 0.00019982330828070385,
|
436 |
+
"loss": 82.7263,
|
437 |
+
"step": 60
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.04182020738709401,
|
441 |
+
"grad_norm": 0.8339894413948059,
|
442 |
+
"learning_rate": 0.00019981617212307798,
|
443 |
+
"loss": 82.7393,
|
444 |
+
"step": 61
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.04250578455737424,
|
448 |
+
"grad_norm": 0.8617733120918274,
|
449 |
+
"learning_rate": 0.0001998088948303705,
|
450 |
+
"loss": 82.6747,
|
451 |
+
"step": 62
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.04319136172765447,
|
455 |
+
"grad_norm": 0.7648028135299683,
|
456 |
+
"learning_rate": 0.0001998014764128712,
|
457 |
+
"loss": 82.7098,
|
458 |
+
"step": 63
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.043876938897934696,
|
462 |
+
"grad_norm": 0.7826403379440308,
|
463 |
+
"learning_rate": 0.0001997939168810693,
|
464 |
+
"loss": 82.7072,
|
465 |
+
"step": 64
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.04456251606821493,
|
469 |
+
"grad_norm": 0.8935323357582092,
|
470 |
+
"learning_rate": 0.00019978621624565363,
|
471 |
+
"loss": 82.7182,
|
472 |
+
"step": 65
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.04524809323849516,
|
476 |
+
"grad_norm": 0.7633827328681946,
|
477 |
+
"learning_rate": 0.0001997783745175125,
|
478 |
+
"loss": 82.7323,
|
479 |
+
"step": 66
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.045933670408775384,
|
483 |
+
"grad_norm": 0.7063556909561157,
|
484 |
+
"learning_rate": 0.00019977039170773368,
|
485 |
+
"loss": 82.6334,
|
486 |
+
"step": 67
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.04661924757905562,
|
490 |
+
"grad_norm": 0.5926834940910339,
|
491 |
+
"learning_rate": 0.00019976226782760455,
|
492 |
+
"loss": 82.6888,
|
493 |
+
"step": 68
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.047304824749335846,
|
497 |
+
"grad_norm": 0.690485417842865,
|
498 |
+
"learning_rate": 0.00019975400288861178,
|
499 |
+
"loss": 82.6446,
|
500 |
+
"step": 69
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.04799040191961608,
|
504 |
+
"grad_norm": 0.7387837767601013,
|
505 |
+
"learning_rate": 0.00019974559690244162,
|
506 |
+
"loss": 82.7189,
|
507 |
+
"step": 70
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.04867597908989631,
|
511 |
+
"grad_norm": 0.6014845371246338,
|
512 |
+
"learning_rate": 0.0001997370498809797,
|
513 |
+
"loss": 82.6953,
|
514 |
+
"step": 71
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.049361556260176534,
|
518 |
+
"grad_norm": 0.7041483521461487,
|
519 |
+
"learning_rate": 0.0001997283618363111,
|
520 |
+
"loss": 82.7027,
|
521 |
+
"step": 72
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.05004713343045677,
|
525 |
+
"grad_norm": 0.6736233234405518,
|
526 |
+
"learning_rate": 0.0001997195327807203,
|
527 |
+
"loss": 82.7298,
|
528 |
+
"step": 73
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.050732710600736995,
|
532 |
+
"grad_norm": 0.5967777967453003,
|
533 |
+
"learning_rate": 0.00019971056272669112,
|
534 |
+
"loss": 82.672,
|
535 |
+
"step": 74
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.05141828777101722,
|
539 |
+
"grad_norm": 0.5182435512542725,
|
540 |
+
"learning_rate": 0.00019970145168690673,
|
541 |
+
"loss": 82.6619,
|
542 |
+
"step": 75
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.052103864941297456,
|
546 |
+
"grad_norm": 0.5619479417800903,
|
547 |
+
"learning_rate": 0.00019969219967424975,
|
548 |
+
"loss": 82.7247,
|
549 |
+
"step": 76
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.052789442111577684,
|
553 |
+
"grad_norm": 0.4026305377483368,
|
554 |
+
"learning_rate": 0.00019968280670180203,
|
555 |
+
"loss": 82.7093,
|
556 |
+
"step": 77
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.05347501928185792,
|
560 |
+
"grad_norm": 0.5604248046875,
|
561 |
+
"learning_rate": 0.00019967327278284477,
|
562 |
+
"loss": 82.713,
|
563 |
+
"step": 78
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.054160596452138145,
|
567 |
+
"grad_norm": 0.4676072299480438,
|
568 |
+
"learning_rate": 0.00019966359793085846,
|
569 |
+
"loss": 82.6991,
|
570 |
+
"step": 79
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.05484617362241837,
|
574 |
+
"grad_norm": 0.5305333137512207,
|
575 |
+
"learning_rate": 0.00019965378215952285,
|
576 |
+
"loss": 82.6794,
|
577 |
+
"step": 80
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.055531750792698606,
|
581 |
+
"grad_norm": 0.4719333350658417,
|
582 |
+
"learning_rate": 0.00019964382548271696,
|
583 |
+
"loss": 82.6997,
|
584 |
+
"step": 81
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.05621732796297883,
|
588 |
+
"grad_norm": 0.6715967655181885,
|
589 |
+
"learning_rate": 0.00019963372791451903,
|
590 |
+
"loss": 82.6654,
|
591 |
+
"step": 82
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.05690290513325906,
|
595 |
+
"grad_norm": 0.4828464388847351,
|
596 |
+
"learning_rate": 0.0001996234894692065,
|
597 |
+
"loss": 82.6646,
|
598 |
+
"step": 83
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.057588482303539294,
|
602 |
+
"grad_norm": 0.4497738182544708,
|
603 |
+
"learning_rate": 0.00019961311016125603,
|
604 |
+
"loss": 82.6718,
|
605 |
+
"step": 84
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.05827405947381952,
|
609 |
+
"grad_norm": 0.5707143545150757,
|
610 |
+
"learning_rate": 0.0001996025900053435,
|
611 |
+
"loss": 82.6892,
|
612 |
+
"step": 85
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.05895963664409975,
|
616 |
+
"grad_norm": 0.4918779134750366,
|
617 |
+
"learning_rate": 0.00019959192901634375,
|
618 |
+
"loss": 82.6276,
|
619 |
+
"step": 86
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.05964521381437998,
|
623 |
+
"grad_norm": 0.5196728110313416,
|
624 |
+
"learning_rate": 0.00019958112720933104,
|
625 |
+
"loss": 82.7225,
|
626 |
+
"step": 87
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.06033079098466021,
|
630 |
+
"grad_norm": 0.5395348072052002,
|
631 |
+
"learning_rate": 0.00019957018459957848,
|
632 |
+
"loss": 82.6811,
|
633 |
+
"step": 88
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.061016368154940444,
|
637 |
+
"grad_norm": 0.5138025879859924,
|
638 |
+
"learning_rate": 0.0001995591012025584,
|
639 |
+
"loss": 82.6585,
|
640 |
+
"step": 89
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.06170194532522067,
|
644 |
+
"grad_norm": 0.3363111913204193,
|
645 |
+
"learning_rate": 0.0001995478770339422,
|
646 |
+
"loss": 82.7009,
|
647 |
+
"step": 90
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.0623875224955009,
|
651 |
+
"grad_norm": 0.4719914197921753,
|
652 |
+
"learning_rate": 0.00019953651210960027,
|
653 |
+
"loss": 82.7031,
|
654 |
+
"step": 91
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.06307309966578113,
|
658 |
+
"grad_norm": 0.4794120788574219,
|
659 |
+
"learning_rate": 0.000199525006445602,
|
660 |
+
"loss": 82.6691,
|
661 |
+
"step": 92
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.06375867683606136,
|
665 |
+
"grad_norm": 0.4694667160511017,
|
666 |
+
"learning_rate": 0.00019951336005821592,
|
667 |
+
"loss": 82.6701,
|
668 |
+
"step": 93
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.06444425400634159,
|
672 |
+
"grad_norm": 0.3991106450557709,
|
673 |
+
"learning_rate": 0.00019950157296390938,
|
674 |
+
"loss": 82.6651,
|
675 |
+
"step": 94
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.06512983117662181,
|
679 |
+
"grad_norm": 0.6075864434242249,
|
680 |
+
"learning_rate": 0.00019948964517934876,
|
681 |
+
"loss": 82.6702,
|
682 |
+
"step": 95
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.06581540834690205,
|
686 |
+
"grad_norm": 0.47983309626579285,
|
687 |
+
"learning_rate": 0.00019947757672139936,
|
688 |
+
"loss": 82.7044,
|
689 |
+
"step": 96
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.06650098551718228,
|
693 |
+
"grad_norm": 0.5436233282089233,
|
694 |
+
"learning_rate": 0.00019946536760712534,
|
695 |
+
"loss": 82.6562,
|
696 |
+
"step": 97
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.06718656268746251,
|
700 |
+
"grad_norm": 0.38460588455200195,
|
701 |
+
"learning_rate": 0.00019945301785378975,
|
702 |
+
"loss": 82.6825,
|
703 |
+
"step": 98
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.06787213985774274,
|
707 |
+
"grad_norm": 0.4150259494781494,
|
708 |
+
"learning_rate": 0.00019944052747885465,
|
709 |
+
"loss": 82.667,
|
710 |
+
"step": 99
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.06855771702802296,
|
714 |
+
"grad_norm": 0.7195476293563843,
|
715 |
+
"learning_rate": 0.00019942789649998068,
|
716 |
+
"loss": 82.5901,
|
717 |
+
"step": 100
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.06855771702802296,
|
721 |
+
"eval_loss": 10.33371639251709,
|
722 |
+
"eval_runtime": 5.7819,
|
723 |
+
"eval_samples_per_second": 336.397,
|
724 |
+
"eval_steps_per_second": 84.229,
|
725 |
+
"step": 100
|
726 |
+
}
|
727 |
+
],
|
728 |
+
"logging_steps": 1,
|
729 |
+
"max_steps": 2652,
|
730 |
+
"num_input_tokens_seen": 0,
|
731 |
+
"num_train_epochs": 2,
|
732 |
+
"save_steps": 100,
|
733 |
+
"stateful_callbacks": {
|
734 |
+
"EarlyStoppingCallback": {
|
735 |
+
"args": {
|
736 |
+
"early_stopping_patience": 2,
|
737 |
+
"early_stopping_threshold": 0.0
|
738 |
+
},
|
739 |
+
"attributes": {
|
740 |
+
"early_stopping_patience_counter": 0
|
741 |
+
}
|
742 |
+
},
|
743 |
+
"TrainerControl": {
|
744 |
+
"args": {
|
745 |
+
"should_epoch_stop": false,
|
746 |
+
"should_evaluate": false,
|
747 |
+
"should_log": false,
|
748 |
+
"should_save": true,
|
749 |
+
"should_training_stop": false
|
750 |
+
},
|
751 |
+
"attributes": {}
|
752 |
+
}
|
753 |
+
},
|
754 |
+
"total_flos": 41334865920000.0,
|
755 |
+
"train_batch_size": 4,
|
756 |
+
"trial_name": null,
|
757 |
+
"trial_params": null
|
758 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c87e462dac209037e1cdc835a2ffff382e6ec924719bdf92753bd9aacf5cd768
|
3 |
+
size 6776
|