Instructions to use Gege24/zeus-gr-intercode-test_with_augment_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gege24/zeus-gr-intercode-test_with_augment_1 with PEFT:
Base model is not found.
- Transformers
How to use Gege24/zeus-gr-intercode-test_with_augment_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gege24/zeus-gr-intercode-test_with_augment_1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gege24/zeus-gr-intercode-test_with_augment_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Gege24/zeus-gr-intercode-test_with_augment_1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gege24/zeus-gr-intercode-test_with_augment_1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gege24/zeus-gr-intercode-test_with_augment_1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Gege24/zeus-gr-intercode-test_with_augment_1
- SGLang
How to use Gege24/zeus-gr-intercode-test_with_augment_1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Gege24/zeus-gr-intercode-test_with_augment_1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gege24/zeus-gr-intercode-test_with_augment_1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Gege24/zeus-gr-intercode-test_with_augment_1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gege24/zeus-gr-intercode-test_with_augment_1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Gege24/zeus-gr-intercode-test_with_augment_1 with Docker Model Runner:
docker model run hf.co/Gege24/zeus-gr-intercode-test_with_augment_1
Upload task output zeus-gr-intercode-1780175917
Browse files- .gitattributes +1 -0
- README.md +209 -0
- adapter_config.json +46 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +28 -0
- chat_template.jinja +61 -0
- loss.txt +1 -0
- merges.txt +0 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +239 -0
- trainer_state.json +601 -0
- training_args.bin +3 -0
- vocab.json +0 -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 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: None
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/cache/models/Jordansky--augmented-f560e4e6ee71e78d
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": null,
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 512,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 128,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"o_proj",
|
| 33 |
+
"up_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"k_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"gate_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e6661ade6efb8ec27ddd307d27871239aa47006a5b5a05d71c13b69d38e1b76
|
| 3 |
+
size 1057033224
|
added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- for message in messages %}
|
| 18 |
+
{%- if message.content is string %}
|
| 19 |
+
{%- set content = message.content %}
|
| 20 |
+
{%- else %}
|
| 21 |
+
{%- set content = '' %}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 24 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 25 |
+
{%- elif message.role == "assistant" %}
|
| 26 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 27 |
+
{%- if message.tool_calls %}
|
| 28 |
+
{%- for tool_call in message.tool_calls %}
|
| 29 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 30 |
+
{{- '\n' }}
|
| 31 |
+
{%- endif %}
|
| 32 |
+
{%- if tool_call.function %}
|
| 33 |
+
{%- set tool_call = tool_call.function %}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 36 |
+
{{- tool_call.name }}
|
| 37 |
+
{{- '", "arguments": ' }}
|
| 38 |
+
{%- if tool_call.arguments is string %}
|
| 39 |
+
{{- tool_call.arguments }}
|
| 40 |
+
{%- else %}
|
| 41 |
+
{{- tool_call.arguments | tojson }}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{{- '}\n</tool_call>' }}
|
| 44 |
+
{%- endfor %}
|
| 45 |
+
{%- endif %}
|
| 46 |
+
{{- '<|im_end|>\n' }}
|
| 47 |
+
{%- elif message.role == "tool" %}
|
| 48 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 49 |
+
{{- '<|im_start|>user' }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{{- '\n<tool_response>\n' }}
|
| 52 |
+
{{- content }}
|
| 53 |
+
{{- '\n</tool_response>' }}
|
| 54 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 55 |
+
{{- '<|im_end|>\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{%- endfor %}
|
| 59 |
+
{%- if add_generation_prompt %}
|
| 60 |
+
{{- '<|im_start|>assistant\n' }}
|
| 61 |
+
{%- endif %}
|
loss.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
317,no_eval
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"clean_up_tokenization_spaces": false,
|
| 231 |
+
"eos_token": "<|im_end|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 1010000,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null
|
| 239 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,601 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.6314741035856574,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 317,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0099601593625498,
|
| 14 |
+
"grad_norm": 9.232208251953125,
|
| 15 |
+
"learning_rate": 5.493846153846154e-06,
|
| 16 |
+
"loss": 1.8789,
|
| 17 |
+
"mean_token_accuracy": 0.6641474723815918,
|
| 18 |
+
"num_tokens": 203562.0,
|
| 19 |
+
"step": 5
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 0.0199203187250996,
|
| 23 |
+
"grad_norm": 2.1925406455993652,
|
| 24 |
+
"learning_rate": 1.2361153846153847e-05,
|
| 25 |
+
"loss": 1.4688,
|
| 26 |
+
"mean_token_accuracy": 0.6874574899673462,
|
| 27 |
+
"num_tokens": 407351.0,
|
| 28 |
+
"step": 10
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 0.029880478087649404,
|
| 32 |
+
"grad_norm": 1.5760976076126099,
|
| 33 |
+
"learning_rate": 1.922846153846154e-05,
|
| 34 |
+
"loss": 1.0239,
|
| 35 |
+
"mean_token_accuracy": 0.7515892744064331,
|
| 36 |
+
"num_tokens": 611227.0,
|
| 37 |
+
"step": 15
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.0398406374501992,
|
| 41 |
+
"grad_norm": 1.1244546175003052,
|
| 42 |
+
"learning_rate": 2.609576923076923e-05,
|
| 43 |
+
"loss": 0.5959,
|
| 44 |
+
"mean_token_accuracy": 0.8532620668411255,
|
| 45 |
+
"num_tokens": 815823.0,
|
| 46 |
+
"step": 20
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.049800796812749,
|
| 50 |
+
"grad_norm": 1.8382799625396729,
|
| 51 |
+
"learning_rate": 3.2963076923076926e-05,
|
| 52 |
+
"loss": 0.2636,
|
| 53 |
+
"mean_token_accuracy": 0.9294551372528076,
|
| 54 |
+
"num_tokens": 1019539.0,
|
| 55 |
+
"step": 25
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.05976095617529881,
|
| 59 |
+
"grad_norm": 0.8567749857902527,
|
| 60 |
+
"learning_rate": 3.570737514520681e-05,
|
| 61 |
+
"loss": 0.1274,
|
| 62 |
+
"mean_token_accuracy": 0.9625859975814819,
|
| 63 |
+
"num_tokens": 1223909.0,
|
| 64 |
+
"step": 30
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 0.0697211155378486,
|
| 68 |
+
"grad_norm": 0.7172916531562805,
|
| 69 |
+
"learning_rate": 3.569133809221824e-05,
|
| 70 |
+
"loss": 0.1025,
|
| 71 |
+
"mean_token_accuracy": 0.9676972508430481,
|
| 72 |
+
"num_tokens": 1427958.0,
|
| 73 |
+
"step": 35
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.0796812749003984,
|
| 77 |
+
"grad_norm": 0.21782852709293365,
|
| 78 |
+
"learning_rate": 3.5660739680414176e-05,
|
| 79 |
+
"loss": 0.0859,
|
| 80 |
+
"mean_token_accuracy": 0.9706499457359314,
|
| 81 |
+
"num_tokens": 1632148.0,
|
| 82 |
+
"step": 40
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.08964143426294821,
|
| 86 |
+
"grad_norm": 0.18133988976478577,
|
| 87 |
+
"learning_rate": 3.561561322828542e-05,
|
| 88 |
+
"loss": 0.0836,
|
| 89 |
+
"mean_token_accuracy": 0.9714468479156494,
|
| 90 |
+
"num_tokens": 1836039.0,
|
| 91 |
+
"step": 45
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.099601593625498,
|
| 95 |
+
"grad_norm": 0.16465476155281067,
|
| 96 |
+
"learning_rate": 3.555600787384902e-05,
|
| 97 |
+
"loss": 0.0654,
|
| 98 |
+
"mean_token_accuracy": 0.977270531654358,
|
| 99 |
+
"num_tokens": 2039906.0,
|
| 100 |
+
"step": 50
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.10956175298804781,
|
| 104 |
+
"grad_norm": 0.15224771201610565,
|
| 105 |
+
"learning_rate": 3.548198852114205e-05,
|
| 106 |
+
"loss": 0.0589,
|
| 107 |
+
"mean_token_accuracy": 0.9786348581314087,
|
| 108 |
+
"num_tokens": 2244311.0,
|
| 109 |
+
"step": 55
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.11952191235059761,
|
| 113 |
+
"grad_norm": 0.20119178295135498,
|
| 114 |
+
"learning_rate": 3.539363576954785e-05,
|
| 115 |
+
"loss": 0.0616,
|
| 116 |
+
"mean_token_accuracy": 0.9778944253921509,
|
| 117 |
+
"num_tokens": 2448676.0,
|
| 118 |
+
"step": 60
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 0.1294820717131474,
|
| 122 |
+
"grad_norm": 0.5322551727294922,
|
| 123 |
+
"learning_rate": 3.529104582603171e-05,
|
| 124 |
+
"loss": 0.0509,
|
| 125 |
+
"mean_token_accuracy": 0.98151695728302,
|
| 126 |
+
"num_tokens": 2653236.0,
|
| 127 |
+
"step": 65
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 0.1394422310756972,
|
| 131 |
+
"grad_norm": 0.20895026624202728,
|
| 132 |
+
"learning_rate": 3.517433040038145e-05,
|
| 133 |
+
"loss": 0.0665,
|
| 134 |
+
"mean_token_accuracy": 0.9769706010818482,
|
| 135 |
+
"num_tokens": 2857368.0,
|
| 136 |
+
"step": 70
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.14940239043824702,
|
| 140 |
+
"grad_norm": 0.14045538008213043,
|
| 141 |
+
"learning_rate": 3.504361658356707e-05,
|
| 142 |
+
"loss": 0.0595,
|
| 143 |
+
"mean_token_accuracy": 0.9787776470184326,
|
| 144 |
+
"num_tokens": 3061303.0,
|
| 145 |
+
"step": 75
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.1593625498007968,
|
| 149 |
+
"grad_norm": 0.13880300521850586,
|
| 150 |
+
"learning_rate": 3.489904670935192e-05,
|
| 151 |
+
"loss": 0.0524,
|
| 152 |
+
"mean_token_accuracy": 0.9811155080795289,
|
| 153 |
+
"num_tokens": 3265653.0,
|
| 154 |
+
"step": 80
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 0.1693227091633466,
|
| 158 |
+
"grad_norm": 0.14233286678791046,
|
| 159 |
+
"learning_rate": 3.4740778199306e-05,
|
| 160 |
+
"loss": 0.0601,
|
| 161 |
+
"mean_token_accuracy": 0.9784350752830505,
|
| 162 |
+
"num_tokens": 3469613.0,
|
| 163 |
+
"step": 85
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.17928286852589642,
|
| 167 |
+
"grad_norm": 0.13804133236408234,
|
| 168 |
+
"learning_rate": 3.4568983391390215e-05,
|
| 169 |
+
"loss": 0.0509,
|
| 170 |
+
"mean_token_accuracy": 0.9816131353378296,
|
| 171 |
+
"num_tokens": 3673768.0,
|
| 172 |
+
"step": 90
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.1892430278884462,
|
| 176 |
+
"grad_norm": 0.12046647071838379,
|
| 177 |
+
"learning_rate": 3.438384935229827e-05,
|
| 178 |
+
"loss": 0.0493,
|
| 179 |
+
"mean_token_accuracy": 0.9822425842285156,
|
| 180 |
+
"num_tokens": 3877279.0,
|
| 181 |
+
"step": 95
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.199203187250996,
|
| 185 |
+
"grad_norm": 0.14844371378421783,
|
| 186 |
+
"learning_rate": 3.418557767376048e-05,
|
| 187 |
+
"loss": 0.0488,
|
| 188 |
+
"mean_token_accuracy": 0.9821234583854676,
|
| 189 |
+
"num_tokens": 4081610.0,
|
| 190 |
+
"step": 100
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 0.20916334661354583,
|
| 194 |
+
"grad_norm": 0.18534263968467712,
|
| 195 |
+
"learning_rate": 3.39743842530313e-05,
|
| 196 |
+
"loss": 0.0554,
|
| 197 |
+
"mean_token_accuracy": 0.9797812938690186,
|
| 198 |
+
"num_tokens": 4285498.0,
|
| 199 |
+
"step": 105
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.21912350597609562,
|
| 203 |
+
"grad_norm": 0.23441195487976074,
|
| 204 |
+
"learning_rate": 3.375049905779968e-05,
|
| 205 |
+
"loss": 0.0549,
|
| 206 |
+
"mean_token_accuracy": 0.9800987362861633,
|
| 207 |
+
"num_tokens": 4490033.0,
|
| 208 |
+
"step": 110
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.2290836653386454,
|
| 212 |
+
"grad_norm": 0.17242072522640228,
|
| 213 |
+
"learning_rate": 3.35141658757781e-05,
|
| 214 |
+
"loss": 0.0445,
|
| 215 |
+
"mean_token_accuracy": 0.9836186289787292,
|
| 216 |
+
"num_tokens": 4693503.0,
|
| 217 |
+
"step": 115
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 0.23904382470119523,
|
| 221 |
+
"grad_norm": 0.19886986911296844,
|
| 222 |
+
"learning_rate": 3.326564204924316e-05,
|
| 223 |
+
"loss": 0.054,
|
| 224 |
+
"mean_token_accuracy": 0.9802655100822448,
|
| 225 |
+
"num_tokens": 4897874.0,
|
| 226 |
+
"step": 120
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.24900398406374502,
|
| 230 |
+
"grad_norm": 0.2171323448419571,
|
| 231 |
+
"learning_rate": 3.300519819481651e-05,
|
| 232 |
+
"loss": 0.0531,
|
| 233 |
+
"mean_token_accuracy": 0.9806747913360596,
|
| 234 |
+
"num_tokens": 5101492.0,
|
| 235 |
+
"step": 125
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.2589641434262948,
|
| 239 |
+
"grad_norm": 0.13506922125816345,
|
| 240 |
+
"learning_rate": 3.2733117908791515e-05,
|
| 241 |
+
"loss": 0.0543,
|
| 242 |
+
"mean_token_accuracy": 0.9801211357116699,
|
| 243 |
+
"num_tokens": 5305671.0,
|
| 244 |
+
"step": 130
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.2689243027888446,
|
| 248 |
+
"grad_norm": 0.10356555134057999,
|
| 249 |
+
"learning_rate": 3.244969745832635e-05,
|
| 250 |
+
"loss": 0.0494,
|
| 251 |
+
"mean_token_accuracy": 0.9822631359100342,
|
| 252 |
+
"num_tokens": 5510015.0,
|
| 253 |
+
"step": 135
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 0.2788844621513944,
|
| 257 |
+
"grad_norm": 0.14405770599842072,
|
| 258 |
+
"learning_rate": 3.215524545883983e-05,
|
| 259 |
+
"loss": 0.0509,
|
| 260 |
+
"mean_token_accuracy": 0.9813132166862488,
|
| 261 |
+
"num_tokens": 5714564.0,
|
| 262 |
+
"step": 140
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.28884462151394424,
|
| 266 |
+
"grad_norm": 0.13222414255142212,
|
| 267 |
+
"learning_rate": 3.185008253796133e-05,
|
| 268 |
+
"loss": 0.0491,
|
| 269 |
+
"mean_token_accuracy": 0.9821501255035401,
|
| 270 |
+
"num_tokens": 5918498.0,
|
| 271 |
+
"step": 145
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.29880478087649404,
|
| 275 |
+
"grad_norm": 0.13528183102607727,
|
| 276 |
+
"learning_rate": 3.153454098640057e-05,
|
| 277 |
+
"loss": 0.0569,
|
| 278 |
+
"mean_token_accuracy": 0.9791349172592163,
|
| 279 |
+
"num_tokens": 6122024.0,
|
| 280 |
+
"step": 150
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 0.30876494023904383,
|
| 284 |
+
"grad_norm": 0.1421584039926529,
|
| 285 |
+
"learning_rate": 3.1208964396117594e-05,
|
| 286 |
+
"loss": 0.051,
|
| 287 |
+
"mean_token_accuracy": 0.9815291643142701,
|
| 288 |
+
"num_tokens": 6325768.0,
|
| 289 |
+
"step": 155
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.3187250996015936,
|
| 293 |
+
"grad_norm": 0.17487601935863495,
|
| 294 |
+
"learning_rate": 3.087370728618683e-05,
|
| 295 |
+
"loss": 0.0433,
|
| 296 |
+
"mean_token_accuracy": 0.9842002630233765,
|
| 297 |
+
"num_tokens": 6529719.0,
|
| 298 |
+
"step": 160
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 0.3286852589641434,
|
| 302 |
+
"grad_norm": 0.1082608699798584,
|
| 303 |
+
"learning_rate": 3.052913471676263e-05,
|
| 304 |
+
"loss": 0.0494,
|
| 305 |
+
"mean_token_accuracy": 0.9817960739135743,
|
| 306 |
+
"num_tokens": 6733822.0,
|
| 307 |
+
"step": 165
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.3386454183266932,
|
| 311 |
+
"grad_norm": 0.1506233662366867,
|
| 312 |
+
"learning_rate": 3.0175621891566735e-05,
|
| 313 |
+
"loss": 0.049,
|
| 314 |
+
"mean_token_accuracy": 0.9819495201110839,
|
| 315 |
+
"num_tokens": 6938042.0,
|
| 316 |
+
"step": 170
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 0.34860557768924305,
|
| 320 |
+
"grad_norm": 0.08547397702932358,
|
| 321 |
+
"learning_rate": 2.981355374933037e-05,
|
| 322 |
+
"loss": 0.0455,
|
| 323 |
+
"mean_token_accuracy": 0.9835866689682007,
|
| 324 |
+
"num_tokens": 7142834.0,
|
| 325 |
+
"step": 175
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.35856573705179284,
|
| 329 |
+
"grad_norm": 0.13623499870300293,
|
| 330 |
+
"learning_rate": 2.9443324544636004e-05,
|
| 331 |
+
"loss": 0.0564,
|
| 332 |
+
"mean_token_accuracy": 0.9794714450836182,
|
| 333 |
+
"num_tokens": 7347226.0,
|
| 334 |
+
"step": 180
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.36852589641434264,
|
| 338 |
+
"grad_norm": 0.16147273778915405,
|
| 339 |
+
"learning_rate": 2.906533741861506e-05,
|
| 340 |
+
"loss": 0.0468,
|
| 341 |
+
"mean_token_accuracy": 0.9828415513038635,
|
| 342 |
+
"num_tokens": 7551541.0,
|
| 343 |
+
"step": 185
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.3784860557768924,
|
| 347 |
+
"grad_norm": 0.11898644268512726,
|
| 348 |
+
"learning_rate": 2.868000395996911e-05,
|
| 349 |
+
"loss": 0.0491,
|
| 350 |
+
"mean_token_accuracy": 0.9818155407905579,
|
| 351 |
+
"num_tokens": 7755893.0,
|
| 352 |
+
"step": 190
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.3884462151394422,
|
| 356 |
+
"grad_norm": 0.09772292524576187,
|
| 357 |
+
"learning_rate": 2.8287743756792572e-05,
|
| 358 |
+
"loss": 0.0442,
|
| 359 |
+
"mean_token_accuracy": 0.9837021589279175,
|
| 360 |
+
"num_tokens": 7960180.0,
|
| 361 |
+
"step": 195
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.398406374501992,
|
| 365 |
+
"grad_norm": 0.12020798772573471,
|
| 366 |
+
"learning_rate": 2.7888983939684854e-05,
|
| 367 |
+
"loss": 0.0544,
|
| 368 |
+
"mean_token_accuracy": 0.9800261735916138,
|
| 369 |
+
"num_tokens": 8164754.0,
|
| 370 |
+
"step": 200
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 0.40836653386454186,
|
| 374 |
+
"grad_norm": 0.09441148489713669,
|
| 375 |
+
"learning_rate": 2.7484158716649527e-05,
|
| 376 |
+
"loss": 0.0466,
|
| 377 |
+
"mean_token_accuracy": 0.9826923131942749,
|
| 378 |
+
"num_tokens": 8369355.0,
|
| 379 |
+
"step": 205
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 0.41832669322709165,
|
| 383 |
+
"grad_norm": 0.13226455450057983,
|
| 384 |
+
"learning_rate": 2.707370890028693e-05,
|
| 385 |
+
"loss": 0.0422,
|
| 386 |
+
"mean_token_accuracy": 0.9842750310897828,
|
| 387 |
+
"num_tokens": 8573886.0,
|
| 388 |
+
"step": 210
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.42828685258964144,
|
| 392 |
+
"grad_norm": 0.1267005354166031,
|
| 393 |
+
"learning_rate": 2.665808142779505e-05,
|
| 394 |
+
"loss": 0.0468,
|
| 395 |
+
"mean_token_accuracy": 0.9828801274299621,
|
| 396 |
+
"num_tokens": 8778229.0,
|
| 397 |
+
"step": 215
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 0.43824701195219123,
|
| 401 |
+
"grad_norm": 0.10507000982761383,
|
| 402 |
+
"learning_rate": 2.6237728874301368e-05,
|
| 403 |
+
"loss": 0.048,
|
| 404 |
+
"mean_token_accuracy": 0.9823834776878357,
|
| 405 |
+
"num_tokens": 8982141.0,
|
| 406 |
+
"step": 220
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 0.448207171314741,
|
| 410 |
+
"grad_norm": 0.06319554895162582,
|
| 411 |
+
"learning_rate": 2.5813108960055566e-05,
|
| 412 |
+
"loss": 0.0462,
|
| 413 |
+
"mean_token_accuracy": 0.9830332040786743,
|
| 414 |
+
"num_tokens": 9186458.0,
|
| 415 |
+
"step": 225
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.4581673306772908,
|
| 419 |
+
"grad_norm": 0.13272365927696228,
|
| 420 |
+
"learning_rate": 2.5384684052019733e-05,
|
| 421 |
+
"loss": 0.046,
|
| 422 |
+
"mean_token_accuracy": 0.9831056952476501,
|
| 423 |
+
"num_tokens": 9390828.0,
|
| 424 |
+
"step": 230
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.4681274900398406,
|
| 428 |
+
"grad_norm": 0.0800432562828064,
|
| 429 |
+
"learning_rate": 2.495292066039881e-05,
|
| 430 |
+
"loss": 0.0489,
|
| 431 |
+
"mean_token_accuracy": 0.9819565773010254,
|
| 432 |
+
"num_tokens": 9595179.0,
|
| 433 |
+
"step": 235
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.47808764940239046,
|
| 437 |
+
"grad_norm": 0.0766841396689415,
|
| 438 |
+
"learning_rate": 2.451828893065942e-05,
|
| 439 |
+
"loss": 0.0445,
|
| 440 |
+
"mean_token_accuracy": 0.9836514234542847,
|
| 441 |
+
"num_tokens": 9799928.0,
|
| 442 |
+
"step": 240
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.48804780876494025,
|
| 446 |
+
"grad_norm": 0.1073063313961029,
|
| 447 |
+
"learning_rate": 2.4081262131590365e-05,
|
| 448 |
+
"loss": 0.0512,
|
| 449 |
+
"mean_token_accuracy": 0.9812036514282226,
|
| 450 |
+
"num_tokens": 10003881.0,
|
| 451 |
+
"step": 245
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.49800796812749004,
|
| 455 |
+
"grad_norm": 0.09998544305562973,
|
| 456 |
+
"learning_rate": 2.3642316139962043e-05,
|
| 457 |
+
"loss": 0.049,
|
| 458 |
+
"mean_token_accuracy": 0.982014799118042,
|
| 459 |
+
"num_tokens": 10208269.0,
|
| 460 |
+
"step": 250
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 0.5079681274900398,
|
| 464 |
+
"grad_norm": 0.09729743003845215,
|
| 465 |
+
"learning_rate": 2.3201928922346115e-05,
|
| 466 |
+
"loss": 0.0461,
|
| 467 |
+
"mean_token_accuracy": 0.9830602169036865,
|
| 468 |
+
"num_tokens": 10411859.0,
|
| 469 |
+
"step": 255
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 0.5179282868525896,
|
| 473 |
+
"grad_norm": 0.08515891432762146,
|
| 474 |
+
"learning_rate": 2.2760580014659588e-05,
|
| 475 |
+
"loss": 0.0493,
|
| 476 |
+
"mean_token_accuracy": 0.9815994024276733,
|
| 477 |
+
"num_tokens": 10616234.0,
|
| 478 |
+
"step": 260
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.5278884462151394,
|
| 482 |
+
"grad_norm": 0.12393739819526672,
|
| 483 |
+
"learning_rate": 2.231875e-05,
|
| 484 |
+
"loss": 0.0479,
|
| 485 |
+
"mean_token_accuracy": 0.9821781516075134,
|
| 486 |
+
"num_tokens": 10820187.0,
|
| 487 |
+
"step": 265
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.5378486055776892,
|
| 491 |
+
"grad_norm": 0.1080358549952507,
|
| 492 |
+
"learning_rate": 2.187691998534042e-05,
|
| 493 |
+
"loss": 0.0406,
|
| 494 |
+
"mean_token_accuracy": 0.9850728034973144,
|
| 495 |
+
"num_tokens": 11024938.0,
|
| 496 |
+
"step": 270
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.547808764940239,
|
| 500 |
+
"grad_norm": 0.10089477151632309,
|
| 501 |
+
"learning_rate": 2.1435571077653886e-05,
|
| 502 |
+
"loss": 0.0454,
|
| 503 |
+
"mean_token_accuracy": 0.9832309484481812,
|
| 504 |
+
"num_tokens": 11229126.0,
|
| 505 |
+
"step": 275
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 0.5577689243027888,
|
| 509 |
+
"grad_norm": 0.1295860856771469,
|
| 510 |
+
"learning_rate": 2.099518386003796e-05,
|
| 511 |
+
"loss": 0.0477,
|
| 512 |
+
"mean_token_accuracy": 0.9824405550956726,
|
| 513 |
+
"num_tokens": 11433338.0,
|
| 514 |
+
"step": 280
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.5677290836653387,
|
| 518 |
+
"grad_norm": 0.09834039211273193,
|
| 519 |
+
"learning_rate": 2.055623786840964e-05,
|
| 520 |
+
"loss": 0.0484,
|
| 521 |
+
"mean_token_accuracy": 0.9822781562805176,
|
| 522 |
+
"num_tokens": 11637306.0,
|
| 523 |
+
"step": 285
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 0.5776892430278885,
|
| 527 |
+
"grad_norm": 0.17566028237342834,
|
| 528 |
+
"learning_rate": 2.011921106934058e-05,
|
| 529 |
+
"loss": 0.0474,
|
| 530 |
+
"mean_token_accuracy": 0.9825265645980835,
|
| 531 |
+
"num_tokens": 11841258.0,
|
| 532 |
+
"step": 290
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.5876494023904383,
|
| 536 |
+
"grad_norm": 0.10994154214859009,
|
| 537 |
+
"learning_rate": 1.9684579339601198e-05,
|
| 538 |
+
"loss": 0.0462,
|
| 539 |
+
"mean_token_accuracy": 0.9831053376197815,
|
| 540 |
+
"num_tokens": 12045782.0,
|
| 541 |
+
"step": 295
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.5976095617529881,
|
| 545 |
+
"grad_norm": 0.09694515913724899,
|
| 546 |
+
"learning_rate": 1.925281594798027e-05,
|
| 547 |
+
"loss": 0.044,
|
| 548 |
+
"mean_token_accuracy": 0.9838001012802124,
|
| 549 |
+
"num_tokens": 12249366.0,
|
| 550 |
+
"step": 300
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.6075697211155379,
|
| 554 |
+
"grad_norm": 0.10750065743923187,
|
| 555 |
+
"learning_rate": 1.8824391039944435e-05,
|
| 556 |
+
"loss": 0.0483,
|
| 557 |
+
"mean_token_accuracy": 0.9823637962341308,
|
| 558 |
+
"num_tokens": 12453947.0,
|
| 559 |
+
"step": 305
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 0.6175298804780877,
|
| 563 |
+
"grad_norm": 0.10110612213611603,
|
| 564 |
+
"learning_rate": 1.8399771125698633e-05,
|
| 565 |
+
"loss": 0.0504,
|
| 566 |
+
"mean_token_accuracy": 0.9815295934677124,
|
| 567 |
+
"num_tokens": 12658554.0,
|
| 568 |
+
"step": 310
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 0.6274900398406374,
|
| 572 |
+
"grad_norm": 0.11374131590127945,
|
| 573 |
+
"learning_rate": 1.797941857220495e-05,
|
| 574 |
+
"loss": 0.0479,
|
| 575 |
+
"mean_token_accuracy": 0.9823715090751648,
|
| 576 |
+
"num_tokens": 12862357.0,
|
| 577 |
+
"step": 315
|
| 578 |
+
}
|
| 579 |
+
],
|
| 580 |
+
"logging_steps": 5,
|
| 581 |
+
"max_steps": 502,
|
| 582 |
+
"num_input_tokens_seen": 0,
|
| 583 |
+
"num_train_epochs": 1,
|
| 584 |
+
"save_steps": 500,
|
| 585 |
+
"stateful_callbacks": {
|
| 586 |
+
"TrainerControl": {
|
| 587 |
+
"args": {
|
| 588 |
+
"should_epoch_stop": false,
|
| 589 |
+
"should_evaluate": false,
|
| 590 |
+
"should_log": false,
|
| 591 |
+
"should_save": true,
|
| 592 |
+
"should_training_stop": true
|
| 593 |
+
},
|
| 594 |
+
"attributes": {}
|
| 595 |
+
}
|
| 596 |
+
},
|
| 597 |
+
"total_flos": 3.027118452931297e+17,
|
| 598 |
+
"train_batch_size": 20,
|
| 599 |
+
"trial_name": null,
|
| 600 |
+
"trial_params": null
|
| 601 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1617d9db75950d1445c2bd23edc00fdd6255bc97a02fb9b29155b98101f33b33
|
| 3 |
+
size 6545
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|