Instructions to use Gege24/test_goof_intercode_synth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gege24/test_goof_intercode_synth with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Jordansky/augmented-f560e4e6ee71e78d") model = PeftModel.from_pretrained(base_model, "Gege24/test_goof_intercode_synth") - Transformers
How to use Gege24/test_goof_intercode_synth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gege24/test_goof_intercode_synth") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gege24/test_goof_intercode_synth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Gege24/test_goof_intercode_synth with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gege24/test_goof_intercode_synth" # 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/test_goof_intercode_synth", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Gege24/test_goof_intercode_synth
- SGLang
How to use Gege24/test_goof_intercode_synth 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/test_goof_intercode_synth" \ --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/test_goof_intercode_synth", "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/test_goof_intercode_synth" \ --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/test_goof_intercode_synth", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Gege24/test_goof_intercode_synth with Docker Model Runner:
docker model run hf.co/Gege24/test_goof_intercode_synth
Upload task output goof-intercode-synth
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 +934 -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: Jordansky/augmented-f560e4e6ee71e78d
|
| 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": "Jordansky/augmented-f560e4e6ee71e78d",
|
| 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 |
+
"up_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"gate_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"o_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 sha256:8e5efbe2fb6b87404299f3d57ef22f8a7a151cca8e31db7e0d12a2999b023a6d
|
| 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 |
+
500,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 +1,934 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.32786885245901637,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 500,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.003278688524590164,
|
| 14 |
+
"grad_norm": 11.864808082580566,
|
| 15 |
+
"learning_rate": 1.8550649350649352e-06,
|
| 16 |
+
"loss": 1.8825,
|
| 17 |
+
"mean_token_accuracy": 0.6717052340507508,
|
| 18 |
+
"num_tokens": 408217.0,
|
| 19 |
+
"step": 5
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 0.006557377049180328,
|
| 23 |
+
"grad_norm": 5.262256622314453,
|
| 24 |
+
"learning_rate": 4.173896103896104e-06,
|
| 25 |
+
"loss": 1.7165,
|
| 26 |
+
"mean_token_accuracy": 0.6818771481513977,
|
| 27 |
+
"num_tokens": 816357.0,
|
| 28 |
+
"step": 10
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 0.009836065573770493,
|
| 32 |
+
"grad_norm": 2.965733289718628,
|
| 33 |
+
"learning_rate": 6.492727272727273e-06,
|
| 34 |
+
"loss": 1.3829,
|
| 35 |
+
"mean_token_accuracy": 0.70808926820755,
|
| 36 |
+
"num_tokens": 1224772.0,
|
| 37 |
+
"step": 15
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.013114754098360656,
|
| 41 |
+
"grad_norm": 2.455183982849121,
|
| 42 |
+
"learning_rate": 8.811558441558442e-06,
|
| 43 |
+
"loss": 1.0236,
|
| 44 |
+
"mean_token_accuracy": 0.7685024738311768,
|
| 45 |
+
"num_tokens": 1633483.0,
|
| 46 |
+
"step": 20
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.01639344262295082,
|
| 50 |
+
"grad_norm": 10.492952346801758,
|
| 51 |
+
"learning_rate": 1.113038961038961e-05,
|
| 52 |
+
"loss": 0.6499,
|
| 53 |
+
"mean_token_accuracy": 0.8449655532836914,
|
| 54 |
+
"num_tokens": 2042159.0,
|
| 55 |
+
"step": 25
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.019672131147540985,
|
| 59 |
+
"grad_norm": 2.165491819381714,
|
| 60 |
+
"learning_rate": 1.344922077922078e-05,
|
| 61 |
+
"loss": 0.289,
|
| 62 |
+
"mean_token_accuracy": 0.9292097449302673,
|
| 63 |
+
"num_tokens": 2450648.0,
|
| 64 |
+
"step": 30
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 0.022950819672131147,
|
| 68 |
+
"grad_norm": 0.3516330122947693,
|
| 69 |
+
"learning_rate": 1.5768051948051948e-05,
|
| 70 |
+
"loss": 0.0746,
|
| 71 |
+
"mean_token_accuracy": 0.9830971240997315,
|
| 72 |
+
"num_tokens": 2859130.0,
|
| 73 |
+
"step": 35
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.02622950819672131,
|
| 77 |
+
"grad_norm": 0.2468341439962387,
|
| 78 |
+
"learning_rate": 1.8086883116883115e-05,
|
| 79 |
+
"loss": 0.0381,
|
| 80 |
+
"mean_token_accuracy": 0.9902603626251221,
|
| 81 |
+
"num_tokens": 3268040.0,
|
| 82 |
+
"step": 40
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.029508196721311476,
|
| 86 |
+
"grad_norm": 0.23932884633541107,
|
| 87 |
+
"learning_rate": 2.0405714285714284e-05,
|
| 88 |
+
"loss": 0.046,
|
| 89 |
+
"mean_token_accuracy": 0.9884509086608887,
|
| 90 |
+
"num_tokens": 3676141.0,
|
| 91 |
+
"step": 45
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.03278688524590164,
|
| 95 |
+
"grad_norm": 0.1291441023349762,
|
| 96 |
+
"learning_rate": 2.2724545454545454e-05,
|
| 97 |
+
"loss": 0.029,
|
| 98 |
+
"mean_token_accuracy": 0.9916678190231323,
|
| 99 |
+
"num_tokens": 4084717.0,
|
| 100 |
+
"step": 50
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.036065573770491806,
|
| 104 |
+
"grad_norm": 0.11761873215436935,
|
| 105 |
+
"learning_rate": 2.5043376623376624e-05,
|
| 106 |
+
"loss": 0.0248,
|
| 107 |
+
"mean_token_accuracy": 0.9925343513488769,
|
| 108 |
+
"num_tokens": 4492938.0,
|
| 109 |
+
"step": 55
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.03934426229508197,
|
| 113 |
+
"grad_norm": 0.057177335023880005,
|
| 114 |
+
"learning_rate": 2.7362207792207794e-05,
|
| 115 |
+
"loss": 0.0178,
|
| 116 |
+
"mean_token_accuracy": 0.9940186262130737,
|
| 117 |
+
"num_tokens": 4901795.0,
|
| 118 |
+
"step": 60
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 0.04262295081967213,
|
| 122 |
+
"grad_norm": 0.09501975029706955,
|
| 123 |
+
"learning_rate": 2.9681038961038964e-05,
|
| 124 |
+
"loss": 0.0159,
|
| 125 |
+
"mean_token_accuracy": 0.9943653583526612,
|
| 126 |
+
"num_tokens": 5310849.0,
|
| 127 |
+
"step": 65
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 0.04590163934426229,
|
| 131 |
+
"grad_norm": 0.09123346954584122,
|
| 132 |
+
"learning_rate": 3.199987012987013e-05,
|
| 133 |
+
"loss": 0.0166,
|
| 134 |
+
"mean_token_accuracy": 0.9942219018936157,
|
| 135 |
+
"num_tokens": 5719518.0,
|
| 136 |
+
"step": 70
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.04918032786885246,
|
| 140 |
+
"grad_norm": 0.08542507886886597,
|
| 141 |
+
"learning_rate": 3.43187012987013e-05,
|
| 142 |
+
"loss": 0.0157,
|
| 143 |
+
"mean_token_accuracy": 0.9944955110549927,
|
| 144 |
+
"num_tokens": 6127881.0,
|
| 145 |
+
"step": 75
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.05245901639344262,
|
| 149 |
+
"grad_norm": 0.04323630407452583,
|
| 150 |
+
"learning_rate": 3.570987392962234e-05,
|
| 151 |
+
"loss": 0.0147,
|
| 152 |
+
"mean_token_accuracy": 0.9947323679924012,
|
| 153 |
+
"num_tokens": 6536261.0,
|
| 154 |
+
"step": 80
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 0.05573770491803279,
|
| 158 |
+
"grad_norm": 0.08876936882734299,
|
| 159 |
+
"learning_rate": 3.570845566513458e-05,
|
| 160 |
+
"loss": 0.0144,
|
| 161 |
+
"mean_token_accuracy": 0.9947437524795533,
|
| 162 |
+
"num_tokens": 6945150.0,
|
| 163 |
+
"step": 85
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.05901639344262295,
|
| 167 |
+
"grad_norm": 0.05356862023472786,
|
| 168 |
+
"learning_rate": 3.5705461715643066e-05,
|
| 169 |
+
"loss": 0.0144,
|
| 170 |
+
"mean_token_accuracy": 0.9947035908699036,
|
| 171 |
+
"num_tokens": 7353980.0,
|
| 172 |
+
"step": 90
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.06229508196721312,
|
| 176 |
+
"grad_norm": 0.0856458991765976,
|
| 177 |
+
"learning_rate": 3.5700892433472276e-05,
|
| 178 |
+
"loss": 0.0153,
|
| 179 |
+
"mean_token_accuracy": 0.9945327043533325,
|
| 180 |
+
"num_tokens": 7762104.0,
|
| 181 |
+
"step": 95
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.06557377049180328,
|
| 185 |
+
"grad_norm": 0.038863301277160645,
|
| 186 |
+
"learning_rate": 3.569474835633004e-05,
|
| 187 |
+
"loss": 0.0144,
|
| 188 |
+
"mean_token_accuracy": 0.994780158996582,
|
| 189 |
+
"num_tokens": 8170451.0,
|
| 190 |
+
"step": 100
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 0.06885245901639345,
|
| 194 |
+
"grad_norm": 0.04703042283654213,
|
| 195 |
+
"learning_rate": 3.56870302072442e-05,
|
| 196 |
+
"loss": 0.0145,
|
| 197 |
+
"mean_token_accuracy": 0.9946265578269958,
|
| 198 |
+
"num_tokens": 8579349.0,
|
| 199 |
+
"step": 105
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.07213114754098361,
|
| 203 |
+
"grad_norm": 0.036843106150627136,
|
| 204 |
+
"learning_rate": 3.5677738894477597e-05,
|
| 205 |
+
"loss": 0.015,
|
| 206 |
+
"mean_token_accuracy": 0.9946633577346802,
|
| 207 |
+
"num_tokens": 8987188.0,
|
| 208 |
+
"step": 110
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.07540983606557378,
|
| 212 |
+
"grad_norm": 0.032964933663606644,
|
| 213 |
+
"learning_rate": 3.56668755114211e-05,
|
| 214 |
+
"loss": 0.0137,
|
| 215 |
+
"mean_token_accuracy": 0.9949539065361023,
|
| 216 |
+
"num_tokens": 9396028.0,
|
| 217 |
+
"step": 115
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 0.07868852459016394,
|
| 221 |
+
"grad_norm": 0.02178327925503254,
|
| 222 |
+
"learning_rate": 3.565444133646502e-05,
|
| 223 |
+
"loss": 0.0138,
|
| 224 |
+
"mean_token_accuracy": 0.994755208492279,
|
| 225 |
+
"num_tokens": 9804877.0,
|
| 226 |
+
"step": 120
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.08196721311475409,
|
| 230 |
+
"grad_norm": 0.0296860970556736,
|
| 231 |
+
"learning_rate": 3.56404378328486e-05,
|
| 232 |
+
"loss": 0.0135,
|
| 233 |
+
"mean_token_accuracy": 0.9949416399002076,
|
| 234 |
+
"num_tokens": 10213751.0,
|
| 235 |
+
"step": 125
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.08524590163934426,
|
| 239 |
+
"grad_norm": 0.0411427803337574,
|
| 240 |
+
"learning_rate": 3.562486664848789e-05,
|
| 241 |
+
"loss": 0.0141,
|
| 242 |
+
"mean_token_accuracy": 0.9947504162788391,
|
| 243 |
+
"num_tokens": 10622374.0,
|
| 244 |
+
"step": 130
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.08852459016393442,
|
| 248 |
+
"grad_norm": 0.03543432801961899,
|
| 249 |
+
"learning_rate": 3.560772961578175e-05,
|
| 250 |
+
"loss": 0.0138,
|
| 251 |
+
"mean_token_accuracy": 0.9947629570960999,
|
| 252 |
+
"num_tokens": 11031043.0,
|
| 253 |
+
"step": 135
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 0.09180327868852459,
|
| 257 |
+
"grad_norm": 0.059530045837163925,
|
| 258 |
+
"learning_rate": 3.5589028751396305e-05,
|
| 259 |
+
"loss": 0.0133,
|
| 260 |
+
"mean_token_accuracy": 0.9950087666511536,
|
| 261 |
+
"num_tokens": 11439772.0,
|
| 262 |
+
"step": 140
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.09508196721311475,
|
| 266 |
+
"grad_norm": 0.07755406200885773,
|
| 267 |
+
"learning_rate": 3.556876625602752e-05,
|
| 268 |
+
"loss": 0.0137,
|
| 269 |
+
"mean_token_accuracy": 0.9948176383972168,
|
| 270 |
+
"num_tokens": 11848505.0,
|
| 271 |
+
"step": 145
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.09836065573770492,
|
| 275 |
+
"grad_norm": 0.04126143455505371,
|
| 276 |
+
"learning_rate": 3.5546944514142315e-05,
|
| 277 |
+
"loss": 0.0134,
|
| 278 |
+
"mean_token_accuracy": 0.9948662519454956,
|
| 279 |
+
"num_tokens": 12257305.0,
|
| 280 |
+
"step": 150
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 0.10163934426229508,
|
| 284 |
+
"grad_norm": 0.03997291252017021,
|
| 285 |
+
"learning_rate": 3.5523566093697924e-05,
|
| 286 |
+
"loss": 0.0133,
|
| 287 |
+
"mean_token_accuracy": 0.9949190497398377,
|
| 288 |
+
"num_tokens": 12666302.0,
|
| 289 |
+
"step": 155
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.10491803278688525,
|
| 293 |
+
"grad_norm": 0.040034219622612,
|
| 294 |
+
"learning_rate": 3.5498633745839686e-05,
|
| 295 |
+
"loss": 0.0132,
|
| 296 |
+
"mean_token_accuracy": 0.9949692964553833,
|
| 297 |
+
"num_tokens": 13075215.0,
|
| 298 |
+
"step": 160
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 0.10819672131147541,
|
| 302 |
+
"grad_norm": 0.03907650709152222,
|
| 303 |
+
"learning_rate": 3.547215040457733e-05,
|
| 304 |
+
"loss": 0.0137,
|
| 305 |
+
"mean_token_accuracy": 0.9948561072349549,
|
| 306 |
+
"num_tokens": 13484075.0,
|
| 307 |
+
"step": 165
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.11147540983606558,
|
| 311 |
+
"grad_norm": 0.04138929769396782,
|
| 312 |
+
"learning_rate": 3.544411918643969e-05,
|
| 313 |
+
"loss": 0.0135,
|
| 314 |
+
"mean_token_accuracy": 0.9949599266052246,
|
| 315 |
+
"num_tokens": 13892435.0,
|
| 316 |
+
"step": 170
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 0.11475409836065574,
|
| 320 |
+
"grad_norm": 0.05110432580113411,
|
| 321 |
+
"learning_rate": 3.541454339010794e-05,
|
| 322 |
+
"loss": 0.014,
|
| 323 |
+
"mean_token_accuracy": 0.9946610331535339,
|
| 324 |
+
"num_tokens": 14301183.0,
|
| 325 |
+
"step": 175
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.1180327868852459,
|
| 329 |
+
"grad_norm": 0.031282778829336166,
|
| 330 |
+
"learning_rate": 3.5383426496027415e-05,
|
| 331 |
+
"loss": 0.0135,
|
| 332 |
+
"mean_token_accuracy": 0.9948694586753846,
|
| 333 |
+
"num_tokens": 14709806.0,
|
| 334 |
+
"step": 180
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.12131147540983607,
|
| 338 |
+
"grad_norm": 0.02924703061580658,
|
| 339 |
+
"learning_rate": 3.5350772165998065e-05,
|
| 340 |
+
"loss": 0.0139,
|
| 341 |
+
"mean_token_accuracy": 0.9947750806808472,
|
| 342 |
+
"num_tokens": 15118488.0,
|
| 343 |
+
"step": 185
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.12459016393442623,
|
| 347 |
+
"grad_norm": 0.03491539880633354,
|
| 348 |
+
"learning_rate": 3.5316584242743505e-05,
|
| 349 |
+
"loss": 0.0137,
|
| 350 |
+
"mean_token_accuracy": 0.9948323130607605,
|
| 351 |
+
"num_tokens": 15526810.0,
|
| 352 |
+
"step": 190
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.12786885245901639,
|
| 356 |
+
"grad_norm": 0.05004236847162247,
|
| 357 |
+
"learning_rate": 3.52808667494588e-05,
|
| 358 |
+
"loss": 0.014,
|
| 359 |
+
"mean_token_accuracy": 0.9948232173919678,
|
| 360 |
+
"num_tokens": 15934808.0,
|
| 361 |
+
"step": 195
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.13114754098360656,
|
| 365 |
+
"grad_norm": 0.059048738330602646,
|
| 366 |
+
"learning_rate": 3.524362388933707e-05,
|
| 367 |
+
"loss": 0.0139,
|
| 368 |
+
"mean_token_accuracy": 0.9948498249053955,
|
| 369 |
+
"num_tokens": 16342813.0,
|
| 370 |
+
"step": 200
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 0.13442622950819672,
|
| 374 |
+
"grad_norm": 0.04443388804793358,
|
| 375 |
+
"learning_rate": 3.520486004507482e-05,
|
| 376 |
+
"loss": 0.0134,
|
| 377 |
+
"mean_token_accuracy": 0.9949076414108277,
|
| 378 |
+
"num_tokens": 16751499.0,
|
| 379 |
+
"step": 205
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 0.1377049180327869,
|
| 383 |
+
"grad_norm": 0.034815456718206406,
|
| 384 |
+
"learning_rate": 3.516457977835619e-05,
|
| 385 |
+
"loss": 0.0136,
|
| 386 |
+
"mean_token_accuracy": 0.9949151515960694,
|
| 387 |
+
"num_tokens": 17159608.0,
|
| 388 |
+
"step": 210
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.14098360655737704,
|
| 392 |
+
"grad_norm": 0.051543693989515305,
|
| 393 |
+
"learning_rate": 3.512278782931617e-05,
|
| 394 |
+
"loss": 0.0134,
|
| 395 |
+
"mean_token_accuracy": 0.9949401617050171,
|
| 396 |
+
"num_tokens": 17568139.0,
|
| 397 |
+
"step": 215
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 0.14426229508196722,
|
| 401 |
+
"grad_norm": 0.05390683189034462,
|
| 402 |
+
"learning_rate": 3.507948911598274e-05,
|
| 403 |
+
"loss": 0.0135,
|
| 404 |
+
"mean_token_accuracy": 0.9949264645576477,
|
| 405 |
+
"num_tokens": 17977007.0,
|
| 406 |
+
"step": 220
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 0.14754098360655737,
|
| 410 |
+
"grad_norm": 0.06902962177991867,
|
| 411 |
+
"learning_rate": 3.50346887336982e-05,
|
| 412 |
+
"loss": 0.014,
|
| 413 |
+
"mean_token_accuracy": 0.9947143077850342,
|
| 414 |
+
"num_tokens": 18385375.0,
|
| 415 |
+
"step": 225
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.15081967213114755,
|
| 419 |
+
"grad_norm": 0.02893741987645626,
|
| 420 |
+
"learning_rate": 3.498839195451947e-05,
|
| 421 |
+
"loss": 0.0135,
|
| 422 |
+
"mean_token_accuracy": 0.994857931137085,
|
| 423 |
+
"num_tokens": 18793771.0,
|
| 424 |
+
"step": 230
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.1540983606557377,
|
| 428 |
+
"grad_norm": 0.02865167334675789,
|
| 429 |
+
"learning_rate": 3.494060422659772e-05,
|
| 430 |
+
"loss": 0.013,
|
| 431 |
+
"mean_token_accuracy": 0.9949785351753235,
|
| 432 |
+
"num_tokens": 19202621.0,
|
| 433 |
+
"step": 235
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.15737704918032788,
|
| 437 |
+
"grad_norm": 0.04375935345888138,
|
| 438 |
+
"learning_rate": 3.489133117353724e-05,
|
| 439 |
+
"loss": 0.0137,
|
| 440 |
+
"mean_token_accuracy": 0.9947228193283081,
|
| 441 |
+
"num_tokens": 19611057.0,
|
| 442 |
+
"step": 240
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.16065573770491803,
|
| 446 |
+
"grad_norm": 0.02420743554830551,
|
| 447 |
+
"learning_rate": 3.4840578593733666e-05,
|
| 448 |
+
"loss": 0.0133,
|
| 449 |
+
"mean_token_accuracy": 0.9950337886810303,
|
| 450 |
+
"num_tokens": 20019638.0,
|
| 451 |
+
"step": 245
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.16393442622950818,
|
| 455 |
+
"grad_norm": 0.05214788392186165,
|
| 456 |
+
"learning_rate": 3.4788352459691614e-05,
|
| 457 |
+
"loss": 0.0134,
|
| 458 |
+
"mean_token_accuracy": 0.9949548959732055,
|
| 459 |
+
"num_tokens": 20428003.0,
|
| 460 |
+
"step": 250
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 0.16721311475409836,
|
| 464 |
+
"grad_norm": 0.04234194755554199,
|
| 465 |
+
"learning_rate": 3.473465891732185e-05,
|
| 466 |
+
"loss": 0.0135,
|
| 467 |
+
"mean_token_accuracy": 0.9947700738906861,
|
| 468 |
+
"num_tokens": 20837020.0,
|
| 469 |
+
"step": 255
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 0.17049180327868851,
|
| 473 |
+
"grad_norm": 0.034778088331222534,
|
| 474 |
+
"learning_rate": 3.4679504285218047e-05,
|
| 475 |
+
"loss": 0.0136,
|
| 476 |
+
"mean_token_accuracy": 0.9947812557220459,
|
| 477 |
+
"num_tokens": 21245246.0,
|
| 478 |
+
"step": 260
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.1737704918032787,
|
| 482 |
+
"grad_norm": 0.03974767401814461,
|
| 483 |
+
"learning_rate": 3.4622895053913217e-05,
|
| 484 |
+
"loss": 0.0137,
|
| 485 |
+
"mean_token_accuracy": 0.9948418736457825,
|
| 486 |
+
"num_tokens": 21653778.0,
|
| 487 |
+
"step": 265
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.17704918032786884,
|
| 491 |
+
"grad_norm": 0.052754733711481094,
|
| 492 |
+
"learning_rate": 3.456483788511593e-05,
|
| 493 |
+
"loss": 0.0136,
|
| 494 |
+
"mean_token_accuracy": 0.9948596477508544,
|
| 495 |
+
"num_tokens": 22062154.0,
|
| 496 |
+
"step": 270
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.18032786885245902,
|
| 500 |
+
"grad_norm": 0.047448959201574326,
|
| 501 |
+
"learning_rate": 3.450533961092634e-05,
|
| 502 |
+
"loss": 0.0131,
|
| 503 |
+
"mean_token_accuracy": 0.9950472474098205,
|
| 504 |
+
"num_tokens": 22470813.0,
|
| 505 |
+
"step": 275
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 0.18360655737704917,
|
| 509 |
+
"grad_norm": 0.09723605960607529,
|
| 510 |
+
"learning_rate": 3.444440723303221e-05,
|
| 511 |
+
"loss": 0.0135,
|
| 512 |
+
"mean_token_accuracy": 0.994795274734497,
|
| 513 |
+
"num_tokens": 22879476.0,
|
| 514 |
+
"step": 280
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.18688524590163935,
|
| 518 |
+
"grad_norm": 0.08869442343711853,
|
| 519 |
+
"learning_rate": 3.4382047921884984e-05,
|
| 520 |
+
"loss": 0.0137,
|
| 521 |
+
"mean_token_accuracy": 0.994783091545105,
|
| 522 |
+
"num_tokens": 23287593.0,
|
| 523 |
+
"step": 285
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 0.1901639344262295,
|
| 527 |
+
"grad_norm": 0.06632116436958313,
|
| 528 |
+
"learning_rate": 3.431826901585592e-05,
|
| 529 |
+
"loss": 0.0138,
|
| 530 |
+
"mean_token_accuracy": 0.9947378635406494,
|
| 531 |
+
"num_tokens": 23695847.0,
|
| 532 |
+
"step": 290
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.19344262295081968,
|
| 536 |
+
"grad_norm": 0.03997300565242767,
|
| 537 |
+
"learning_rate": 3.4253078020372585e-05,
|
| 538 |
+
"loss": 0.0127,
|
| 539 |
+
"mean_token_accuracy": 0.9951478004455566,
|
| 540 |
+
"num_tokens": 24104934.0,
|
| 541 |
+
"step": 295
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.19672131147540983,
|
| 545 |
+
"grad_norm": 0.03351575508713722,
|
| 546 |
+
"learning_rate": 3.418648260703555e-05,
|
| 547 |
+
"loss": 0.0132,
|
| 548 |
+
"mean_token_accuracy": 0.9948622226715088,
|
| 549 |
+
"num_tokens": 24513848.0,
|
| 550 |
+
"step": 300
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.2,
|
| 554 |
+
"grad_norm": 0.04181559756398201,
|
| 555 |
+
"learning_rate": 3.41184906127157e-05,
|
| 556 |
+
"loss": 0.0132,
|
| 557 |
+
"mean_token_accuracy": 0.9950374960899353,
|
| 558 |
+
"num_tokens": 24921760.0,
|
| 559 |
+
"step": 305
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 0.20327868852459016,
|
| 563 |
+
"grad_norm": 0.044396817684173584,
|
| 564 |
+
"learning_rate": 3.40491100386319e-05,
|
| 565 |
+
"loss": 0.0132,
|
| 566 |
+
"mean_token_accuracy": 0.9949706077575684,
|
| 567 |
+
"num_tokens": 25329955.0,
|
| 568 |
+
"step": 310
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 0.20655737704918034,
|
| 572 |
+
"grad_norm": 0.02727290242910385,
|
| 573 |
+
"learning_rate": 3.39783490494095e-05,
|
| 574 |
+
"loss": 0.0136,
|
| 575 |
+
"mean_token_accuracy": 0.9948286771774292,
|
| 576 |
+
"num_tokens": 25738012.0,
|
| 577 |
+
"step": 315
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.2098360655737705,
|
| 581 |
+
"grad_norm": 0.04054737091064453,
|
| 582 |
+
"learning_rate": 3.390621597211947e-05,
|
| 583 |
+
"loss": 0.0131,
|
| 584 |
+
"mean_token_accuracy": 0.9948787569999695,
|
| 585 |
+
"num_tokens": 26146499.0,
|
| 586 |
+
"step": 320
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 0.21311475409836064,
|
| 590 |
+
"grad_norm": 0.03496871143579483,
|
| 591 |
+
"learning_rate": 3.3832719295298546e-05,
|
| 592 |
+
"loss": 0.0132,
|
| 593 |
+
"mean_token_accuracy": 0.9949335575103759,
|
| 594 |
+
"num_tokens": 26554662.0,
|
| 595 |
+
"step": 325
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 0.21639344262295082,
|
| 599 |
+
"grad_norm": 0.07436609268188477,
|
| 600 |
+
"learning_rate": 3.375786766795025e-05,
|
| 601 |
+
"loss": 0.0131,
|
| 602 |
+
"mean_token_accuracy": 0.9949586033821106,
|
| 603 |
+
"num_tokens": 26963118.0,
|
| 604 |
+
"step": 330
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.21967213114754097,
|
| 608 |
+
"grad_norm": 0.03663641959428787,
|
| 609 |
+
"learning_rate": 3.368166989852709e-05,
|
| 610 |
+
"loss": 0.0134,
|
| 611 |
+
"mean_token_accuracy": 0.9948944687843323,
|
| 612 |
+
"num_tokens": 27371149.0,
|
| 613 |
+
"step": 335
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.22295081967213115,
|
| 617 |
+
"grad_norm": 0.03990248590707779,
|
| 618 |
+
"learning_rate": 3.3604134953894047e-05,
|
| 619 |
+
"loss": 0.013,
|
| 620 |
+
"mean_token_accuracy": 0.9949881911277771,
|
| 621 |
+
"num_tokens": 27779612.0,
|
| 622 |
+
"step": 340
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 0.2262295081967213,
|
| 626 |
+
"grad_norm": 0.05796727165579796,
|
| 627 |
+
"learning_rate": 3.352527195827331e-05,
|
| 628 |
+
"loss": 0.0133,
|
| 629 |
+
"mean_token_accuracy": 0.9949235558509827,
|
| 630 |
+
"num_tokens": 28188222.0,
|
| 631 |
+
"step": 345
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.22950819672131148,
|
| 635 |
+
"grad_norm": 0.05331377312541008,
|
| 636 |
+
"learning_rate": 3.344509019217057e-05,
|
| 637 |
+
"loss": 0.0132,
|
| 638 |
+
"mean_token_accuracy": 0.994888699054718,
|
| 639 |
+
"num_tokens": 28596553.0,
|
| 640 |
+
"step": 350
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.23278688524590163,
|
| 644 |
+
"grad_norm": 0.04629578813910484,
|
| 645 |
+
"learning_rate": 3.336359909128287e-05,
|
| 646 |
+
"loss": 0.0131,
|
| 647 |
+
"mean_token_accuracy": 0.9949244379997253,
|
| 648 |
+
"num_tokens": 29004751.0,
|
| 649 |
+
"step": 355
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.2360655737704918,
|
| 653 |
+
"grad_norm": 0.034980956465005875,
|
| 654 |
+
"learning_rate": 3.328080824538829e-05,
|
| 655 |
+
"loss": 0.013,
|
| 656 |
+
"mean_token_accuracy": 0.9950591683387756,
|
| 657 |
+
"num_tokens": 29413216.0,
|
| 658 |
+
"step": 360
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 0.23934426229508196,
|
| 662 |
+
"grad_norm": 0.049879077821969986,
|
| 663 |
+
"learning_rate": 3.3196727397217355e-05,
|
| 664 |
+
"loss": 0.0141,
|
| 665 |
+
"mean_token_accuracy": 0.9946274876594543,
|
| 666 |
+
"num_tokens": 29820939.0,
|
| 667 |
+
"step": 365
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.24262295081967214,
|
| 671 |
+
"grad_norm": 0.03049667924642563,
|
| 672 |
+
"learning_rate": 3.311136644130658e-05,
|
| 673 |
+
"loss": 0.0129,
|
| 674 |
+
"mean_token_accuracy": 0.9949459671974182,
|
| 675 |
+
"num_tokens": 30229737.0,
|
| 676 |
+
"step": 370
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.2459016393442623,
|
| 680 |
+
"grad_norm": 0.03131835535168648,
|
| 681 |
+
"learning_rate": 3.3024735422834075e-05,
|
| 682 |
+
"loss": 0.013,
|
| 683 |
+
"mean_token_accuracy": 0.995038378238678,
|
| 684 |
+
"num_tokens": 30638060.0,
|
| 685 |
+
"step": 375
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.24918032786885247,
|
| 689 |
+
"grad_norm": 0.10647476464509964,
|
| 690 |
+
"learning_rate": 3.2936844536437424e-05,
|
| 691 |
+
"loss": 0.0128,
|
| 692 |
+
"mean_token_accuracy": 0.9952004551887512,
|
| 693 |
+
"num_tokens": 31046393.0,
|
| 694 |
+
"step": 380
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.25245901639344265,
|
| 698 |
+
"grad_norm": 0.03366782143712044,
|
| 699 |
+
"learning_rate": 3.2847704125014004e-05,
|
| 700 |
+
"loss": 0.0129,
|
| 701 |
+
"mean_token_accuracy": 0.9949777960777283,
|
| 702 |
+
"num_tokens": 31455002.0,
|
| 703 |
+
"step": 385
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.25573770491803277,
|
| 707 |
+
"grad_norm": 0.04673784226179123,
|
| 708 |
+
"learning_rate": 3.2757324678503855e-05,
|
| 709 |
+
"loss": 0.0136,
|
| 710 |
+
"mean_token_accuracy": 0.9947427630424499,
|
| 711 |
+
"num_tokens": 31863601.0,
|
| 712 |
+
"step": 390
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 0.25901639344262295,
|
| 716 |
+
"grad_norm": 0.05322699621319771,
|
| 717 |
+
"learning_rate": 3.266571683265521e-05,
|
| 718 |
+
"loss": 0.013,
|
| 719 |
+
"mean_token_accuracy": 0.994936466217041,
|
| 720 |
+
"num_tokens": 32272638.0,
|
| 721 |
+
"step": 395
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.26229508196721313,
|
| 725 |
+
"grad_norm": 0.09595732390880585,
|
| 726 |
+
"learning_rate": 3.257289136777294e-05,
|
| 727 |
+
"loss": 0.013,
|
| 728 |
+
"mean_token_accuracy": 0.9950599074363708,
|
| 729 |
+
"num_tokens": 32681386.0,
|
| 730 |
+
"step": 400
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.26557377049180325,
|
| 734 |
+
"grad_norm": 0.04479283094406128,
|
| 735 |
+
"learning_rate": 3.2478859207449874e-05,
|
| 736 |
+
"loss": 0.0133,
|
| 737 |
+
"mean_token_accuracy": 0.994804859161377,
|
| 738 |
+
"num_tokens": 33089486.0,
|
| 739 |
+
"step": 405
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.26885245901639343,
|
| 743 |
+
"grad_norm": 0.030818136408925056,
|
| 744 |
+
"learning_rate": 3.2383631417281374e-05,
|
| 745 |
+
"loss": 0.0126,
|
| 746 |
+
"mean_token_accuracy": 0.995081651210785,
|
| 747 |
+
"num_tokens": 33498149.0,
|
| 748 |
+
"step": 410
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 0.2721311475409836,
|
| 752 |
+
"grad_norm": 0.041336897760629654,
|
| 753 |
+
"learning_rate": 3.228721920356313e-05,
|
| 754 |
+
"loss": 0.0128,
|
| 755 |
+
"mean_token_accuracy": 0.9950200915336609,
|
| 756 |
+
"num_tokens": 33906426.0,
|
| 757 |
+
"step": 415
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 0.2754098360655738,
|
| 761 |
+
"grad_norm": 0.02350839041173458,
|
| 762 |
+
"learning_rate": 3.218963391197243e-05,
|
| 763 |
+
"loss": 0.0134,
|
| 764 |
+
"mean_token_accuracy": 0.9947636127471924,
|
| 765 |
+
"num_tokens": 34314986.0,
|
| 766 |
+
"step": 420
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.2786885245901639,
|
| 770 |
+
"grad_norm": 0.02138645388185978,
|
| 771 |
+
"learning_rate": 3.209088702623298e-05,
|
| 772 |
+
"loss": 0.0131,
|
| 773 |
+
"mean_token_accuracy": 0.9948771834373474,
|
| 774 |
+
"num_tokens": 34723179.0,
|
| 775 |
+
"step": 425
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.2819672131147541,
|
| 779 |
+
"grad_norm": 0.041177183389663696,
|
| 780 |
+
"learning_rate": 3.1990990166763574e-05,
|
| 781 |
+
"loss": 0.0127,
|
| 782 |
+
"mean_token_accuracy": 0.9951212167739868,
|
| 783 |
+
"num_tokens": 35132085.0,
|
| 784 |
+
"step": 430
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 0.28524590163934427,
|
| 788 |
+
"grad_norm": 0.04491574689745903,
|
| 789 |
+
"learning_rate": 3.188995508931052e-05,
|
| 790 |
+
"loss": 0.0133,
|
| 791 |
+
"mean_token_accuracy": 0.9948252081871033,
|
| 792 |
+
"num_tokens": 35540424.0,
|
| 793 |
+
"step": 435
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.28852459016393445,
|
| 797 |
+
"grad_norm": 0.03420275077223778,
|
| 798 |
+
"learning_rate": 3.178779368356435e-05,
|
| 799 |
+
"loss": 0.0125,
|
| 800 |
+
"mean_token_accuracy": 0.9952936053276062,
|
| 801 |
+
"num_tokens": 35948584.0,
|
| 802 |
+
"step": 440
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 0.29180327868852457,
|
| 806 |
+
"grad_norm": 0.02960294671356678,
|
| 807 |
+
"learning_rate": 3.1684517971760586e-05,
|
| 808 |
+
"loss": 0.0129,
|
| 809 |
+
"mean_token_accuracy": 0.9950698137283325,
|
| 810 |
+
"num_tokens": 36356683.0,
|
| 811 |
+
"step": 445
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 0.29508196721311475,
|
| 815 |
+
"grad_norm": 0.03503751382231712,
|
| 816 |
+
"learning_rate": 3.158014010726497e-05,
|
| 817 |
+
"loss": 0.0133,
|
| 818 |
+
"mean_token_accuracy": 0.9947447061538697,
|
| 819 |
+
"num_tokens": 36765639.0,
|
| 820 |
+
"step": 450
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 0.2983606557377049,
|
| 824 |
+
"grad_norm": 0.12213002890348434,
|
| 825 |
+
"learning_rate": 3.1474672373143325e-05,
|
| 826 |
+
"loss": 0.0131,
|
| 827 |
+
"mean_token_accuracy": 0.9949376940727234,
|
| 828 |
+
"num_tokens": 37174367.0,
|
| 829 |
+
"step": 455
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.3016393442622951,
|
| 833 |
+
"grad_norm": 0.026703471317887306,
|
| 834 |
+
"learning_rate": 3.136812718071603e-05,
|
| 835 |
+
"loss": 0.0129,
|
| 836 |
+
"mean_token_accuracy": 0.995039415359497,
|
| 837 |
+
"num_tokens": 37582693.0,
|
| 838 |
+
"step": 460
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.30491803278688523,
|
| 842 |
+
"grad_norm": 0.04152139276266098,
|
| 843 |
+
"learning_rate": 3.126051706809753e-05,
|
| 844 |
+
"loss": 0.0128,
|
| 845 |
+
"mean_token_accuracy": 0.9950154423713684,
|
| 846 |
+
"num_tokens": 37991765.0,
|
| 847 |
+
"step": 465
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"epoch": 0.3081967213114754,
|
| 851 |
+
"grad_norm": 0.03578517958521843,
|
| 852 |
+
"learning_rate": 3.115185469872084e-05,
|
| 853 |
+
"loss": 0.0138,
|
| 854 |
+
"mean_token_accuracy": 0.9947016477584839,
|
| 855 |
+
"num_tokens": 38400227.0,
|
| 856 |
+
"step": 470
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.3114754098360656,
|
| 860 |
+
"grad_norm": 0.02464434690773487,
|
| 861 |
+
"learning_rate": 3.1042152859847324e-05,
|
| 862 |
+
"loss": 0.0133,
|
| 863 |
+
"mean_token_accuracy": 0.9948673963546752,
|
| 864 |
+
"num_tokens": 38807929.0,
|
| 865 |
+
"step": 475
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.31475409836065577,
|
| 869 |
+
"grad_norm": 0.03423834592103958,
|
| 870 |
+
"learning_rate": 3.093142446106189e-05,
|
| 871 |
+
"loss": 0.0131,
|
| 872 |
+
"mean_token_accuracy": 0.9949305653572083,
|
| 873 |
+
"num_tokens": 39216673.0,
|
| 874 |
+
"step": 480
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"epoch": 0.3180327868852459,
|
| 878 |
+
"grad_norm": 0.03287561610341072,
|
| 879 |
+
"learning_rate": 3.0819682532753864e-05,
|
| 880 |
+
"loss": 0.013,
|
| 881 |
+
"mean_token_accuracy": 0.9948360681533813,
|
| 882 |
+
"num_tokens": 39625104.0,
|
| 883 |
+
"step": 485
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 0.32131147540983607,
|
| 887 |
+
"grad_norm": 0.031057024374604225,
|
| 888 |
+
"learning_rate": 3.070694022458351e-05,
|
| 889 |
+
"loss": 0.0131,
|
| 890 |
+
"mean_token_accuracy": 0.9948514938354492,
|
| 891 |
+
"num_tokens": 40033992.0,
|
| 892 |
+
"step": 490
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.32459016393442625,
|
| 896 |
+
"grad_norm": 0.03567773476243019,
|
| 897 |
+
"learning_rate": 3.059321080393464e-05,
|
| 898 |
+
"loss": 0.013,
|
| 899 |
+
"mean_token_accuracy": 0.9949483275413513,
|
| 900 |
+
"num_tokens": 40442234.0,
|
| 901 |
+
"step": 495
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.32786885245901637,
|
| 905 |
+
"grad_norm": 0.03349795937538147,
|
| 906 |
+
"learning_rate": 3.0478507654353334e-05,
|
| 907 |
+
"loss": 0.0129,
|
| 908 |
+
"mean_token_accuracy": 0.9948728799819946,
|
| 909 |
+
"num_tokens": 40850853.0,
|
| 910 |
+
"step": 500
|
| 911 |
+
}
|
| 912 |
+
],
|
| 913 |
+
"logging_steps": 5,
|
| 914 |
+
"max_steps": 1525,
|
| 915 |
+
"num_input_tokens_seen": 0,
|
| 916 |
+
"num_train_epochs": 1,
|
| 917 |
+
"save_steps": 500,
|
| 918 |
+
"stateful_callbacks": {
|
| 919 |
+
"TrainerControl": {
|
| 920 |
+
"args": {
|
| 921 |
+
"should_epoch_stop": false,
|
| 922 |
+
"should_evaluate": false,
|
| 923 |
+
"should_log": false,
|
| 924 |
+
"should_save": true,
|
| 925 |
+
"should_training_stop": false
|
| 926 |
+
},
|
| 927 |
+
"attributes": {}
|
| 928 |
+
}
|
| 929 |
+
},
|
| 930 |
+
"total_flos": 9.553592302509752e+17,
|
| 931 |
+
"train_batch_size": 20,
|
| 932 |
+
"trial_name": null,
|
| 933 |
+
"trial_params": null
|
| 934 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b68ff855da0fd32d34b4d9b70e0e9844f6715dcf088005911b756b49b024914
|
| 3 |
+
size 6545
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|