Upload 16 files
Browse files- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +3 -0
- chat_template.json +3 -0
- optimizer.pt +3 -0
- preprocessor_config.json +29 -0
- processor_config.json +4 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- trainer_state.json +790 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/gemma-3-27b-it
|
| 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 0.15.2
|
adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/gemma-3-27b-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.9,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"r": 64,
|
| 24 |
+
"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
+
"target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj)))",
|
| 27 |
+
"task_type": "CAUSAL_LM",
|
| 28 |
+
"trainable_token_indices": null,
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0eaacaee367d97acc2ae5e3ec90521c64ba0c285bff410e99845e5e8176bf4a5
|
| 3 |
+
size 1816396048
|
added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<image_soft_token>": 262144
|
| 3 |
+
}
|
chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{ '<start_of_turn>model\n' }}\n{%- endif -%}\n"
|
| 3 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65d6c5881e9d4f0ac2a46c91de9e315dcbf21a4de0960e022d80ac3dc56fbff4
|
| 3 |
+
size 923343669
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": null,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_pan_and_scan": null,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
| 13 |
+
"image_seq_length": 256,
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"pan_and_scan_max_num_crops": null,
|
| 20 |
+
"pan_and_scan_min_crop_size": null,
|
| 21 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
| 22 |
+
"processor_class": "Gemma3Processor",
|
| 23 |
+
"resample": 2,
|
| 24 |
+
"rescale_factor": 0.00392156862745098,
|
| 25 |
+
"size": {
|
| 26 |
+
"height": 896,
|
| 27 |
+
"width": 896
|
| 28 |
+
}
|
| 29 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_seq_length": 256,
|
| 3 |
+
"processor_class": "Gemma3Processor"
|
| 4 |
+
}
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed0c77f5912a273f0060b9137a8e6ff717f1984a6ac9421c05309b525d60e437
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b4dcc9d0dd0655cabea2a0266bb961e21c3677031ed568515ae1119ee6501932
|
| 3 |
+
size 1465
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"unk_token": {
|
| 27 |
+
"content": "<unk>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
}
|
| 33 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
| 3 |
+
size 33384568
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
| 3 |
+
size 4689074
|
tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
trainer_state.json
ADDED
|
@@ -0,0 +1,790 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 544,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.00919963201471941,
|
| 14 |
+
"grad_norm": 4.493361949920654,
|
| 15 |
+
"learning_rate": 7e-06,
|
| 16 |
+
"loss": 2.5772,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.01839926402943882,
|
| 21 |
+
"grad_norm": 2.119591236114502,
|
| 22 |
+
"learning_rate": 1.575e-05,
|
| 23 |
+
"loss": 2.35,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.027598896044158234,
|
| 28 |
+
"grad_norm": 0.7079921364784241,
|
| 29 |
+
"learning_rate": 2.4499999999999996e-05,
|
| 30 |
+
"loss": 1.9809,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.03679852805887764,
|
| 35 |
+
"grad_norm": 9.288702964782715,
|
| 36 |
+
"learning_rate": 3.3249999999999995e-05,
|
| 37 |
+
"loss": 1.8818,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.045998160073597055,
|
| 42 |
+
"grad_norm": 0.5875306129455566,
|
| 43 |
+
"learning_rate": 4.2e-05,
|
| 44 |
+
"loss": 1.8314,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.05519779208831647,
|
| 49 |
+
"grad_norm": 0.5792304873466492,
|
| 50 |
+
"learning_rate": 5.0749999999999994e-05,
|
| 51 |
+
"loss": 1.6966,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.06439742410303588,
|
| 56 |
+
"grad_norm": 0.5320371985435486,
|
| 57 |
+
"learning_rate": 5.9499999999999996e-05,
|
| 58 |
+
"loss": 1.7159,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.07359705611775529,
|
| 63 |
+
"grad_norm": 0.41402390599250793,
|
| 64 |
+
"learning_rate": 6.824999999999999e-05,
|
| 65 |
+
"loss": 1.6542,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0827966881324747,
|
| 70 |
+
"grad_norm": 0.46447646617889404,
|
| 71 |
+
"learning_rate": 6.98237885462555e-05,
|
| 72 |
+
"loss": 1.5679,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.09199632014719411,
|
| 77 |
+
"grad_norm": 0.44029220938682556,
|
| 78 |
+
"learning_rate": 6.960352422907488e-05,
|
| 79 |
+
"loss": 1.6419,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.10119595216191353,
|
| 84 |
+
"grad_norm": 0.425231009721756,
|
| 85 |
+
"learning_rate": 6.938325991189428e-05,
|
| 86 |
+
"loss": 1.5516,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.11039558417663294,
|
| 91 |
+
"grad_norm": 0.4705358147621155,
|
| 92 |
+
"learning_rate": 6.916299559471366e-05,
|
| 93 |
+
"loss": 1.572,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.11959521619135234,
|
| 98 |
+
"grad_norm": 0.5355105400085449,
|
| 99 |
+
"learning_rate": 6.894273127753303e-05,
|
| 100 |
+
"loss": 1.5585,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.12879484820607176,
|
| 105 |
+
"grad_norm": 0.4822757840156555,
|
| 106 |
+
"learning_rate": 6.872246696035241e-05,
|
| 107 |
+
"loss": 1.5078,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.13799448022079117,
|
| 112 |
+
"grad_norm": 0.4612935781478882,
|
| 113 |
+
"learning_rate": 6.85022026431718e-05,
|
| 114 |
+
"loss": 1.5677,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.14719411223551057,
|
| 119 |
+
"grad_norm": 0.5228879451751709,
|
| 120 |
+
"learning_rate": 6.828193832599119e-05,
|
| 121 |
+
"loss": 1.5224,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.15639374425023,
|
| 126 |
+
"grad_norm": 0.4631298780441284,
|
| 127 |
+
"learning_rate": 6.806167400881057e-05,
|
| 128 |
+
"loss": 1.4413,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.1655933762649494,
|
| 133 |
+
"grad_norm": 0.5098944306373596,
|
| 134 |
+
"learning_rate": 6.784140969162995e-05,
|
| 135 |
+
"loss": 1.4965,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.17479300827966882,
|
| 140 |
+
"grad_norm": 0.5739426016807556,
|
| 141 |
+
"learning_rate": 6.762114537444933e-05,
|
| 142 |
+
"loss": 1.4526,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.18399264029438822,
|
| 147 |
+
"grad_norm": 0.5409196019172668,
|
| 148 |
+
"learning_rate": 6.740088105726871e-05,
|
| 149 |
+
"loss": 1.4667,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.19319227230910763,
|
| 154 |
+
"grad_norm": 0.6061224341392517,
|
| 155 |
+
"learning_rate": 6.71806167400881e-05,
|
| 156 |
+
"loss": 1.5092,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.20239190432382706,
|
| 161 |
+
"grad_norm": 4.403282642364502,
|
| 162 |
+
"learning_rate": 6.696035242290749e-05,
|
| 163 |
+
"loss": 1.42,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.21159153633854647,
|
| 168 |
+
"grad_norm": 0.5433526635169983,
|
| 169 |
+
"learning_rate": 6.674008810572687e-05,
|
| 170 |
+
"loss": 1.5852,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.22079116835326587,
|
| 175 |
+
"grad_norm": 0.5382786393165588,
|
| 176 |
+
"learning_rate": 6.651982378854625e-05,
|
| 177 |
+
"loss": 1.4788,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.22999080036798528,
|
| 182 |
+
"grad_norm": 0.5642833709716797,
|
| 183 |
+
"learning_rate": 6.629955947136563e-05,
|
| 184 |
+
"loss": 1.4694,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.23919043238270468,
|
| 189 |
+
"grad_norm": 0.5912417769432068,
|
| 190 |
+
"learning_rate": 6.607929515418502e-05,
|
| 191 |
+
"loss": 1.4685,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.24839006439742412,
|
| 196 |
+
"grad_norm": 0.584441602230072,
|
| 197 |
+
"learning_rate": 6.58590308370044e-05,
|
| 198 |
+
"loss": 1.4401,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.2575896964121435,
|
| 203 |
+
"grad_norm": 0.5686805844306946,
|
| 204 |
+
"learning_rate": 6.563876651982378e-05,
|
| 205 |
+
"loss": 1.4622,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.2667893284268629,
|
| 210 |
+
"grad_norm": 0.5634583234786987,
|
| 211 |
+
"learning_rate": 6.541850220264316e-05,
|
| 212 |
+
"loss": 1.4674,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.27598896044158233,
|
| 217 |
+
"grad_norm": 0.5362507700920105,
|
| 218 |
+
"learning_rate": 6.519823788546254e-05,
|
| 219 |
+
"loss": 1.4368,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.28518859245630174,
|
| 224 |
+
"grad_norm": 0.528346836566925,
|
| 225 |
+
"learning_rate": 6.497797356828193e-05,
|
| 226 |
+
"loss": 1.4645,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.29438822447102114,
|
| 231 |
+
"grad_norm": 0.6441851258277893,
|
| 232 |
+
"learning_rate": 6.475770925110131e-05,
|
| 233 |
+
"loss": 1.4359,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.30358785648574055,
|
| 238 |
+
"grad_norm": 0.6480420231819153,
|
| 239 |
+
"learning_rate": 6.45374449339207e-05,
|
| 240 |
+
"loss": 1.5072,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.31278748850046,
|
| 245 |
+
"grad_norm": 0.6448924541473389,
|
| 246 |
+
"learning_rate": 6.431718061674008e-05,
|
| 247 |
+
"loss": 1.3991,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.3219871205151794,
|
| 252 |
+
"grad_norm": 232.7066650390625,
|
| 253 |
+
"learning_rate": 6.409691629955947e-05,
|
| 254 |
+
"loss": 1.4437,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.3311867525298988,
|
| 259 |
+
"grad_norm": 0.6596648097038269,
|
| 260 |
+
"learning_rate": 6.387665198237885e-05,
|
| 261 |
+
"loss": 1.4778,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.3403863845446182,
|
| 266 |
+
"grad_norm": 0.6211815476417542,
|
| 267 |
+
"learning_rate": 6.365638766519823e-05,
|
| 268 |
+
"loss": 1.4235,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.34958601655933763,
|
| 273 |
+
"grad_norm": 0.597537636756897,
|
| 274 |
+
"learning_rate": 6.343612334801761e-05,
|
| 275 |
+
"loss": 1.4416,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.35878564857405704,
|
| 280 |
+
"grad_norm": 0.5805206894874573,
|
| 281 |
+
"learning_rate": 6.321585903083701e-05,
|
| 282 |
+
"loss": 1.4412,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.36798528058877644,
|
| 287 |
+
"grad_norm": 0.6511718034744263,
|
| 288 |
+
"learning_rate": 6.299559471365639e-05,
|
| 289 |
+
"loss": 1.4406,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.37718491260349585,
|
| 294 |
+
"grad_norm": 0.6224706768989563,
|
| 295 |
+
"learning_rate": 6.277533039647577e-05,
|
| 296 |
+
"loss": 1.428,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.38638454461821525,
|
| 301 |
+
"grad_norm": 0.7181910276412964,
|
| 302 |
+
"learning_rate": 6.255506607929515e-05,
|
| 303 |
+
"loss": 1.4363,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.39558417663293466,
|
| 308 |
+
"grad_norm": 0.6790558695793152,
|
| 309 |
+
"learning_rate": 6.233480176211453e-05,
|
| 310 |
+
"loss": 1.4516,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.4047838086476541,
|
| 315 |
+
"grad_norm": 0.9428783655166626,
|
| 316 |
+
"learning_rate": 6.211453744493392e-05,
|
| 317 |
+
"loss": 1.4527,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.4139834406623735,
|
| 322 |
+
"grad_norm": 0.7599747180938721,
|
| 323 |
+
"learning_rate": 6.18942731277533e-05,
|
| 324 |
+
"loss": 1.4756,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.42318307267709293,
|
| 329 |
+
"grad_norm": 0.5899630784988403,
|
| 330 |
+
"learning_rate": 6.167400881057268e-05,
|
| 331 |
+
"loss": 1.4126,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.43238270469181234,
|
| 336 |
+
"grad_norm": 0.7069624066352844,
|
| 337 |
+
"learning_rate": 6.145374449339206e-05,
|
| 338 |
+
"loss": 1.3768,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.44158233670653174,
|
| 343 |
+
"grad_norm": 1.1761517524719238,
|
| 344 |
+
"learning_rate": 6.123348017621144e-05,
|
| 345 |
+
"loss": 1.3948,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.45078196872125115,
|
| 350 |
+
"grad_norm": 0.8364585041999817,
|
| 351 |
+
"learning_rate": 6.101321585903083e-05,
|
| 352 |
+
"loss": 1.4601,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.45998160073597055,
|
| 357 |
+
"grad_norm": 0.7272374033927917,
|
| 358 |
+
"learning_rate": 6.0792951541850214e-05,
|
| 359 |
+
"loss": 1.4054,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.46918123275068996,
|
| 364 |
+
"grad_norm": 0.722029983997345,
|
| 365 |
+
"learning_rate": 6.0572687224669595e-05,
|
| 366 |
+
"loss": 1.4382,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.47838086476540936,
|
| 371 |
+
"grad_norm": 0.7180947065353394,
|
| 372 |
+
"learning_rate": 6.0352422907488984e-05,
|
| 373 |
+
"loss": 1.414,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.48758049678012877,
|
| 378 |
+
"grad_norm": 0.8569415211677551,
|
| 379 |
+
"learning_rate": 6.0132158590308366e-05,
|
| 380 |
+
"loss": 1.3801,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.49678012879484823,
|
| 385 |
+
"grad_norm": 0.6971564292907715,
|
| 386 |
+
"learning_rate": 5.991189427312775e-05,
|
| 387 |
+
"loss": 1.4264,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.5059797608095676,
|
| 392 |
+
"grad_norm": 1.1400465965270996,
|
| 393 |
+
"learning_rate": 5.9691629955947136e-05,
|
| 394 |
+
"loss": 1.4571,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.515179392824287,
|
| 399 |
+
"grad_norm": 0.6640013456344604,
|
| 400 |
+
"learning_rate": 5.947136563876652e-05,
|
| 401 |
+
"loss": 1.4494,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.5243790248390064,
|
| 406 |
+
"grad_norm": 0.612842857837677,
|
| 407 |
+
"learning_rate": 5.92511013215859e-05,
|
| 408 |
+
"loss": 1.3979,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.5335786568537259,
|
| 413 |
+
"grad_norm": 6.370260715484619,
|
| 414 |
+
"learning_rate": 5.903083700440528e-05,
|
| 415 |
+
"loss": 1.4008,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.5427782888684453,
|
| 420 |
+
"grad_norm": 0.6938475966453552,
|
| 421 |
+
"learning_rate": 5.881057268722466e-05,
|
| 422 |
+
"loss": 1.3901,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.5519779208831647,
|
| 427 |
+
"grad_norm": 0.7252101302146912,
|
| 428 |
+
"learning_rate": 5.8590308370044045e-05,
|
| 429 |
+
"loss": 1.4129,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.5611775528978841,
|
| 434 |
+
"grad_norm": 0.7261694669723511,
|
| 435 |
+
"learning_rate": 5.837004405286343e-05,
|
| 436 |
+
"loss": 1.4504,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.5703771849126035,
|
| 441 |
+
"grad_norm": 1.128242015838623,
|
| 442 |
+
"learning_rate": 5.8149779735682815e-05,
|
| 443 |
+
"loss": 1.4392,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.5795768169273229,
|
| 448 |
+
"grad_norm": 0.7343323230743408,
|
| 449 |
+
"learning_rate": 5.79295154185022e-05,
|
| 450 |
+
"loss": 1.4001,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.5887764489420423,
|
| 455 |
+
"grad_norm": 0.6398953795433044,
|
| 456 |
+
"learning_rate": 5.770925110132158e-05,
|
| 457 |
+
"loss": 1.4533,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.5979760809567617,
|
| 462 |
+
"grad_norm": 0.9343668222427368,
|
| 463 |
+
"learning_rate": 5.748898678414096e-05,
|
| 464 |
+
"loss": 1.4464,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.6071757129714811,
|
| 469 |
+
"grad_norm": 0.7744137644767761,
|
| 470 |
+
"learning_rate": 5.726872246696035e-05,
|
| 471 |
+
"loss": 1.3802,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.6163753449862005,
|
| 476 |
+
"grad_norm": 0.7824112772941589,
|
| 477 |
+
"learning_rate": 5.704845814977973e-05,
|
| 478 |
+
"loss": 1.3885,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.62557497700092,
|
| 483 |
+
"grad_norm": 0.7310079336166382,
|
| 484 |
+
"learning_rate": 5.682819383259911e-05,
|
| 485 |
+
"loss": 1.3351,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.6347746090156394,
|
| 490 |
+
"grad_norm": 0.6795840859413147,
|
| 491 |
+
"learning_rate": 5.66079295154185e-05,
|
| 492 |
+
"loss": 1.4371,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.6439742410303588,
|
| 497 |
+
"grad_norm": 0.7529902458190918,
|
| 498 |
+
"learning_rate": 5.638766519823788e-05,
|
| 499 |
+
"loss": 1.4985,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.6531738730450782,
|
| 504 |
+
"grad_norm": 0.7649794220924377,
|
| 505 |
+
"learning_rate": 5.6167400881057265e-05,
|
| 506 |
+
"loss": 1.4007,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.6623735050597976,
|
| 511 |
+
"grad_norm": 0.8272032141685486,
|
| 512 |
+
"learning_rate": 5.594713656387665e-05,
|
| 513 |
+
"loss": 1.4233,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.671573137074517,
|
| 518 |
+
"grad_norm": 0.7489705085754395,
|
| 519 |
+
"learning_rate": 5.5726872246696035e-05,
|
| 520 |
+
"loss": 1.3739,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.6807727690892365,
|
| 525 |
+
"grad_norm": 0.8254089951515198,
|
| 526 |
+
"learning_rate": 5.550660792951541e-05,
|
| 527 |
+
"loss": 1.5,
|
| 528 |
+
"step": 370
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.6899724011039559,
|
| 532 |
+
"grad_norm": 0.7875320911407471,
|
| 533 |
+
"learning_rate": 5.528634361233479e-05,
|
| 534 |
+
"loss": 1.3998,
|
| 535 |
+
"step": 375
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.6991720331186753,
|
| 539 |
+
"grad_norm": 0.7118289470672607,
|
| 540 |
+
"learning_rate": 5.506607929515418e-05,
|
| 541 |
+
"loss": 1.4549,
|
| 542 |
+
"step": 380
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.7083716651333947,
|
| 546 |
+
"grad_norm": 0.7725639343261719,
|
| 547 |
+
"learning_rate": 5.484581497797356e-05,
|
| 548 |
+
"loss": 1.3842,
|
| 549 |
+
"step": 385
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.7175712971481141,
|
| 553 |
+
"grad_norm": 1.2431738376617432,
|
| 554 |
+
"learning_rate": 5.4625550660792944e-05,
|
| 555 |
+
"loss": 1.4364,
|
| 556 |
+
"step": 390
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.7267709291628335,
|
| 560 |
+
"grad_norm": 0.9481919407844543,
|
| 561 |
+
"learning_rate": 5.4405286343612326e-05,
|
| 562 |
+
"loss": 1.3786,
|
| 563 |
+
"step": 395
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.7359705611775529,
|
| 567 |
+
"grad_norm": 0.7844451069831848,
|
| 568 |
+
"learning_rate": 5.4185022026431715e-05,
|
| 569 |
+
"loss": 1.3388,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.7451701931922723,
|
| 574 |
+
"grad_norm": 0.8081017136573792,
|
| 575 |
+
"learning_rate": 5.3964757709251096e-05,
|
| 576 |
+
"loss": 1.4376,
|
| 577 |
+
"step": 405
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.7543698252069917,
|
| 581 |
+
"grad_norm": 13030255.0,
|
| 582 |
+
"learning_rate": 5.374449339207048e-05,
|
| 583 |
+
"loss": 1.439,
|
| 584 |
+
"step": 410
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.7635694572217111,
|
| 588 |
+
"grad_norm": 0.7132210731506348,
|
| 589 |
+
"learning_rate": 5.352422907488987e-05,
|
| 590 |
+
"loss": 1.392,
|
| 591 |
+
"step": 415
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.7727690892364305,
|
| 595 |
+
"grad_norm": 0.8951236009597778,
|
| 596 |
+
"learning_rate": 5.330396475770925e-05,
|
| 597 |
+
"loss": 1.3945,
|
| 598 |
+
"step": 420
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.7819687212511499,
|
| 602 |
+
"grad_norm": 0.7916706800460815,
|
| 603 |
+
"learning_rate": 5.308370044052863e-05,
|
| 604 |
+
"loss": 1.3567,
|
| 605 |
+
"step": 425
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.7911683532658693,
|
| 609 |
+
"grad_norm": 0.8253033757209778,
|
| 610 |
+
"learning_rate": 5.286343612334801e-05,
|
| 611 |
+
"loss": 1.3707,
|
| 612 |
+
"step": 430
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.8003679852805887,
|
| 616 |
+
"grad_norm": 0.8816981911659241,
|
| 617 |
+
"learning_rate": 5.26431718061674e-05,
|
| 618 |
+
"loss": 1.3911,
|
| 619 |
+
"step": 435
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.8095676172953082,
|
| 623 |
+
"grad_norm": 0.7913665175437927,
|
| 624 |
+
"learning_rate": 5.242290748898678e-05,
|
| 625 |
+
"loss": 1.3613,
|
| 626 |
+
"step": 440
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.8187672493100276,
|
| 630 |
+
"grad_norm": 0.7874677777290344,
|
| 631 |
+
"learning_rate": 5.2202643171806164e-05,
|
| 632 |
+
"loss": 1.4487,
|
| 633 |
+
"step": 445
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.827966881324747,
|
| 637 |
+
"grad_norm": 0.7003588080406189,
|
| 638 |
+
"learning_rate": 5.1982378854625546e-05,
|
| 639 |
+
"loss": 1.3712,
|
| 640 |
+
"step": 450
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.8371665133394665,
|
| 644 |
+
"grad_norm": 0.7311933040618896,
|
| 645 |
+
"learning_rate": 5.176211453744493e-05,
|
| 646 |
+
"loss": 1.3422,
|
| 647 |
+
"step": 455
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.8463661453541859,
|
| 651 |
+
"grad_norm": 0.823244571685791,
|
| 652 |
+
"learning_rate": 5.154185022026431e-05,
|
| 653 |
+
"loss": 1.3605,
|
| 654 |
+
"step": 460
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.8555657773689053,
|
| 658 |
+
"grad_norm": 0.8285578489303589,
|
| 659 |
+
"learning_rate": 5.132158590308369e-05,
|
| 660 |
+
"loss": 1.418,
|
| 661 |
+
"step": 465
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.8647654093836247,
|
| 665 |
+
"grad_norm": 0.8007466197013855,
|
| 666 |
+
"learning_rate": 5.110132158590308e-05,
|
| 667 |
+
"loss": 1.3539,
|
| 668 |
+
"step": 470
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.8739650413983441,
|
| 672 |
+
"grad_norm": 0.7975384593009949,
|
| 673 |
+
"learning_rate": 5.088105726872246e-05,
|
| 674 |
+
"loss": 1.3959,
|
| 675 |
+
"step": 475
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.8831646734130635,
|
| 679 |
+
"grad_norm": 0.931978702545166,
|
| 680 |
+
"learning_rate": 5.0660792951541843e-05,
|
| 681 |
+
"loss": 1.3734,
|
| 682 |
+
"step": 480
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.8923643054277829,
|
| 686 |
+
"grad_norm": 0.9099324345588684,
|
| 687 |
+
"learning_rate": 5.044052863436123e-05,
|
| 688 |
+
"loss": 1.3722,
|
| 689 |
+
"step": 485
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.9015639374425023,
|
| 693 |
+
"grad_norm": 0.7978657484054565,
|
| 694 |
+
"learning_rate": 5.0220264317180614e-05,
|
| 695 |
+
"loss": 1.3741,
|
| 696 |
+
"step": 490
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.9107635694572217,
|
| 700 |
+
"grad_norm": 0.8722144365310669,
|
| 701 |
+
"learning_rate": 4.9999999999999996e-05,
|
| 702 |
+
"loss": 1.3869,
|
| 703 |
+
"step": 495
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.9199632014719411,
|
| 707 |
+
"grad_norm": 1309.4061279296875,
|
| 708 |
+
"learning_rate": 4.977973568281938e-05,
|
| 709 |
+
"loss": 1.4329,
|
| 710 |
+
"step": 500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.9291628334866605,
|
| 714 |
+
"grad_norm": 0.807162880897522,
|
| 715 |
+
"learning_rate": 4.9559471365638766e-05,
|
| 716 |
+
"loss": 1.3755,
|
| 717 |
+
"step": 505
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.9383624655013799,
|
| 721 |
+
"grad_norm": 0.9719377160072327,
|
| 722 |
+
"learning_rate": 4.933920704845815e-05,
|
| 723 |
+
"loss": 1.4036,
|
| 724 |
+
"step": 510
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.9475620975160993,
|
| 728 |
+
"grad_norm": 3.86576247215271,
|
| 729 |
+
"learning_rate": 4.911894273127753e-05,
|
| 730 |
+
"loss": 1.3866,
|
| 731 |
+
"step": 515
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.9567617295308187,
|
| 735 |
+
"grad_norm": 0.8033193945884705,
|
| 736 |
+
"learning_rate": 4.889867841409692e-05,
|
| 737 |
+
"loss": 1.3861,
|
| 738 |
+
"step": 520
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.9659613615455381,
|
| 742 |
+
"grad_norm": 0.8535065650939941,
|
| 743 |
+
"learning_rate": 4.867841409691629e-05,
|
| 744 |
+
"loss": 1.2592,
|
| 745 |
+
"step": 525
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.9751609935602575,
|
| 749 |
+
"grad_norm": 0.8155761957168579,
|
| 750 |
+
"learning_rate": 4.8458149779735675e-05,
|
| 751 |
+
"loss": 1.3123,
|
| 752 |
+
"step": 530
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.984360625574977,
|
| 756 |
+
"grad_norm": 155.9907989501953,
|
| 757 |
+
"learning_rate": 4.823788546255506e-05,
|
| 758 |
+
"loss": 1.3567,
|
| 759 |
+
"step": 535
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.9935602575896965,
|
| 763 |
+
"grad_norm": 2.225149631500244,
|
| 764 |
+
"learning_rate": 4.8017621145374445e-05,
|
| 765 |
+
"loss": 1.3736,
|
| 766 |
+
"step": 540
|
| 767 |
+
}
|
| 768 |
+
],
|
| 769 |
+
"logging_steps": 5,
|
| 770 |
+
"max_steps": 1629,
|
| 771 |
+
"num_input_tokens_seen": 0,
|
| 772 |
+
"num_train_epochs": 3,
|
| 773 |
+
"save_steps": 500,
|
| 774 |
+
"stateful_callbacks": {
|
| 775 |
+
"TrainerControl": {
|
| 776 |
+
"args": {
|
| 777 |
+
"should_epoch_stop": false,
|
| 778 |
+
"should_evaluate": false,
|
| 779 |
+
"should_log": false,
|
| 780 |
+
"should_save": true,
|
| 781 |
+
"should_training_stop": false
|
| 782 |
+
},
|
| 783 |
+
"attributes": {}
|
| 784 |
+
}
|
| 785 |
+
},
|
| 786 |
+
"total_flos": 6.125792658549078e+18,
|
| 787 |
+
"train_batch_size": 4,
|
| 788 |
+
"trial_name": null,
|
| 789 |
+
"trial_params": null
|
| 790 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0fe46dbb05da4986c78c80c6b4d9a1ee4cae71a0b8950a52f7a30e6fb79aae5
|
| 3 |
+
size 6033
|