Instructions to use Taywon/B2plus_v4_qwen72_e1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Taywon/B2plus_v4_qwen72_e1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-72B-Instruct") model = PeftModel.from_pretrained(base_model, "Taywon/B2plus_v4_qwen72_e1") - Transformers
How to use Taywon/B2plus_v4_qwen72_e1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Taywon/B2plus_v4_qwen72_e1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Taywon/B2plus_v4_qwen72_e1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Taywon/B2plus_v4_qwen72_e1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Taywon/B2plus_v4_qwen72_e1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Taywon/B2plus_v4_qwen72_e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Taywon/B2plus_v4_qwen72_e1
- SGLang
How to use Taywon/B2plus_v4_qwen72_e1 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 "Taywon/B2plus_v4_qwen72_e1" \ --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": "Taywon/B2plus_v4_qwen72_e1", "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 "Taywon/B2plus_v4_qwen72_e1" \ --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": "Taywon/B2plus_v4_qwen72_e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Taywon/B2plus_v4_qwen72_e1 with Docker Model Runner:
docker model run hf.co/Taywon/B2plus_v4_qwen72_e1
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +209 -0
- adapter_config.json +48 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +54 -0
- tokenizer.json +3 -0
- tokenizer_config.json +30 -0
- trainer_state.json +1064 -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: Qwen/Qwen2.5-72B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-72B-Instruct
|
| 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 0.19.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-72B-Instruct",
|
| 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": 128,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"lora_ga_config": null,
|
| 23 |
+
"megatron_config": null,
|
| 24 |
+
"megatron_core": "megatron.core",
|
| 25 |
+
"modules_to_save": null,
|
| 26 |
+
"peft_type": "LORA",
|
| 27 |
+
"peft_version": "0.18.1",
|
| 28 |
+
"qalora_group_size": 16,
|
| 29 |
+
"r": 64,
|
| 30 |
+
"rank_pattern": {},
|
| 31 |
+
"revision": null,
|
| 32 |
+
"target_modules": [
|
| 33 |
+
"up_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
+
"o_proj",
|
| 36 |
+
"q_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"k_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
+
],
|
| 41 |
+
"target_parameters": null,
|
| 42 |
+
"task_type": "CAUSAL_LM",
|
| 43 |
+
"trainable_token_indices": null,
|
| 44 |
+
"use_bdlora": null,
|
| 45 |
+
"use_dora": false,
|
| 46 |
+
"use_qalora": false,
|
| 47 |
+
"use_rslora": false
|
| 48 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:edcdc39d3de3c30917235c17ac564ceee0b8ef9eeedc7d9201be4eac9d29b7af
|
| 3 |
+
size 3368703728
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 131072,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
|
| 30 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1064 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 103,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.4083243012428284,
|
| 14 |
+
"epoch": 0.009708737864077669,
|
| 15 |
+
"grad_norm": 0.94761723279953,
|
| 16 |
+
"learning_rate": 0.0,
|
| 17 |
+
"loss": 1.9706486463546753,
|
| 18 |
+
"mean_token_accuracy": 0.5420544818043709,
|
| 19 |
+
"num_tokens": 97105.0,
|
| 20 |
+
"step": 1
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.421248883008957,
|
| 24 |
+
"epoch": 0.019417475728155338,
|
| 25 |
+
"grad_norm": 1.021393060684204,
|
| 26 |
+
"learning_rate": 3.125e-06,
|
| 27 |
+
"loss": 2.03873872756958,
|
| 28 |
+
"mean_token_accuracy": 0.5355476140975952,
|
| 29 |
+
"num_tokens": 192679.0,
|
| 30 |
+
"step": 2
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.4670909941196442,
|
| 34 |
+
"epoch": 0.02912621359223301,
|
| 35 |
+
"grad_norm": 0.8904154896736145,
|
| 36 |
+
"learning_rate": 6.25e-06,
|
| 37 |
+
"loss": 1.994919776916504,
|
| 38 |
+
"mean_token_accuracy": 0.5325814262032509,
|
| 39 |
+
"num_tokens": 290599.0,
|
| 40 |
+
"step": 3
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 1.5951472371816635,
|
| 44 |
+
"epoch": 0.038834951456310676,
|
| 45 |
+
"grad_norm": 0.6973261833190918,
|
| 46 |
+
"learning_rate": 9.375000000000001e-06,
|
| 47 |
+
"loss": 1.9966566562652588,
|
| 48 |
+
"mean_token_accuracy": 0.5266260281205177,
|
| 49 |
+
"num_tokens": 388130.0,
|
| 50 |
+
"step": 4
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.6103769689798355,
|
| 54 |
+
"epoch": 0.04854368932038835,
|
| 55 |
+
"grad_norm": 0.5392856597900391,
|
| 56 |
+
"learning_rate": 1.25e-05,
|
| 57 |
+
"loss": 1.8900949954986572,
|
| 58 |
+
"mean_token_accuracy": 0.5452185645699501,
|
| 59 |
+
"num_tokens": 485983.0,
|
| 60 |
+
"step": 5
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 1.7284279018640518,
|
| 64 |
+
"epoch": 0.05825242718446602,
|
| 65 |
+
"grad_norm": 0.4281271696090698,
|
| 66 |
+
"learning_rate": 1.5625e-05,
|
| 67 |
+
"loss": 1.8690071105957031,
|
| 68 |
+
"mean_token_accuracy": 0.5448430627584457,
|
| 69 |
+
"num_tokens": 583257.0,
|
| 70 |
+
"step": 6
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 1.79091015458107,
|
| 74 |
+
"epoch": 0.06796116504854369,
|
| 75 |
+
"grad_norm": 0.4108770191669464,
|
| 76 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 77 |
+
"loss": 1.8907827138900757,
|
| 78 |
+
"mean_token_accuracy": 0.5405718386173248,
|
| 79 |
+
"num_tokens": 678553.0,
|
| 80 |
+
"step": 7
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 1.8500836789608002,
|
| 84 |
+
"epoch": 0.07766990291262135,
|
| 85 |
+
"grad_norm": 0.35201919078826904,
|
| 86 |
+
"learning_rate": 2.1875e-05,
|
| 87 |
+
"loss": 1.8045190572738647,
|
| 88 |
+
"mean_token_accuracy": 0.5530312657356262,
|
| 89 |
+
"num_tokens": 774991.0,
|
| 90 |
+
"step": 8
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 1.9261595904827118,
|
| 94 |
+
"epoch": 0.08737864077669903,
|
| 95 |
+
"grad_norm": 0.36849886178970337,
|
| 96 |
+
"learning_rate": 2.5e-05,
|
| 97 |
+
"loss": 1.7962449789047241,
|
| 98 |
+
"mean_token_accuracy": 0.5506185740232468,
|
| 99 |
+
"num_tokens": 871685.0,
|
| 100 |
+
"step": 9
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.875639259815216,
|
| 104 |
+
"epoch": 0.0970873786407767,
|
| 105 |
+
"grad_norm": 0.36218366026878357,
|
| 106 |
+
"learning_rate": 2.8125000000000003e-05,
|
| 107 |
+
"loss": 1.703657627105713,
|
| 108 |
+
"mean_token_accuracy": 0.5688499510288239,
|
| 109 |
+
"num_tokens": 968934.0,
|
| 110 |
+
"step": 10
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 1.8956582099199295,
|
| 114 |
+
"epoch": 0.10679611650485436,
|
| 115 |
+
"grad_norm": 0.38436606526374817,
|
| 116 |
+
"learning_rate": 3.125e-05,
|
| 117 |
+
"loss": 1.6929868459701538,
|
| 118 |
+
"mean_token_accuracy": 0.5671246349811554,
|
| 119 |
+
"num_tokens": 1066190.0,
|
| 120 |
+
"step": 11
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 1.9003087729215622,
|
| 124 |
+
"epoch": 0.11650485436893204,
|
| 125 |
+
"grad_norm": 0.38454198837280273,
|
| 126 |
+
"learning_rate": 3.4375e-05,
|
| 127 |
+
"loss": 1.6784961223602295,
|
| 128 |
+
"mean_token_accuracy": 0.5702497884631157,
|
| 129 |
+
"num_tokens": 1163717.0,
|
| 130 |
+
"step": 12
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 1.7804109752178192,
|
| 134 |
+
"epoch": 0.1262135922330097,
|
| 135 |
+
"grad_norm": 0.34963515400886536,
|
| 136 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 137 |
+
"loss": 1.609951376914978,
|
| 138 |
+
"mean_token_accuracy": 0.5796908214688301,
|
| 139 |
+
"num_tokens": 1261260.0,
|
| 140 |
+
"step": 13
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 1.6776917278766632,
|
| 144 |
+
"epoch": 0.13592233009708737,
|
| 145 |
+
"grad_norm": 0.2801634669303894,
|
| 146 |
+
"learning_rate": 4.0625000000000005e-05,
|
| 147 |
+
"loss": 1.5957839488983154,
|
| 148 |
+
"mean_token_accuracy": 0.5835207626223564,
|
| 149 |
+
"num_tokens": 1358315.0,
|
| 150 |
+
"step": 14
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 1.5199688822031021,
|
| 154 |
+
"epoch": 0.14563106796116504,
|
| 155 |
+
"grad_norm": 0.27892422676086426,
|
| 156 |
+
"learning_rate": 4.375e-05,
|
| 157 |
+
"loss": 1.5371708869934082,
|
| 158 |
+
"mean_token_accuracy": 0.5937215387821198,
|
| 159 |
+
"num_tokens": 1455424.0,
|
| 160 |
+
"step": 15
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 1.42391437292099,
|
| 164 |
+
"epoch": 0.1553398058252427,
|
| 165 |
+
"grad_norm": 0.36465972661972046,
|
| 166 |
+
"learning_rate": 4.6875e-05,
|
| 167 |
+
"loss": 1.5261038541793823,
|
| 168 |
+
"mean_token_accuracy": 0.5960521325469017,
|
| 169 |
+
"num_tokens": 1552741.0,
|
| 170 |
+
"step": 16
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 1.4002629518508911,
|
| 174 |
+
"epoch": 0.1650485436893204,
|
| 175 |
+
"grad_norm": 0.33470022678375244,
|
| 176 |
+
"learning_rate": 5e-05,
|
| 177 |
+
"loss": 1.506011962890625,
|
| 178 |
+
"mean_token_accuracy": 0.5978913903236389,
|
| 179 |
+
"num_tokens": 1650044.0,
|
| 180 |
+
"step": 17
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 1.4228239804506302,
|
| 184 |
+
"epoch": 0.17475728155339806,
|
| 185 |
+
"grad_norm": 0.24347813427448273,
|
| 186 |
+
"learning_rate": 4.999856295503635e-05,
|
| 187 |
+
"loss": 1.4823517799377441,
|
| 188 |
+
"mean_token_accuracy": 0.599531851708889,
|
| 189 |
+
"num_tokens": 1747782.0,
|
| 190 |
+
"step": 18
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 1.448434516787529,
|
| 194 |
+
"epoch": 0.18446601941747573,
|
| 195 |
+
"grad_norm": 0.20727963745594025,
|
| 196 |
+
"learning_rate": 4.999425198535325e-05,
|
| 197 |
+
"loss": 1.463187575340271,
|
| 198 |
+
"mean_token_accuracy": 0.6064818128943443,
|
| 199 |
+
"num_tokens": 1845724.0,
|
| 200 |
+
"step": 19
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 1.4923068583011627,
|
| 204 |
+
"epoch": 0.1941747572815534,
|
| 205 |
+
"grad_norm": 0.2315221130847931,
|
| 206 |
+
"learning_rate": 4.998706758655528e-05,
|
| 207 |
+
"loss": 1.4465688467025757,
|
| 208 |
+
"mean_token_accuracy": 0.6043036803603172,
|
| 209 |
+
"num_tokens": 1943411.0,
|
| 210 |
+
"step": 20
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 1.472718134522438,
|
| 214 |
+
"epoch": 0.20388349514563106,
|
| 215 |
+
"grad_norm": 0.24738778173923492,
|
| 216 |
+
"learning_rate": 4.997701058458676e-05,
|
| 217 |
+
"loss": 1.4063471555709839,
|
| 218 |
+
"mean_token_accuracy": 0.6147852465510368,
|
| 219 |
+
"num_tokens": 2041045.0,
|
| 220 |
+
"step": 21
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 1.4919932037591934,
|
| 224 |
+
"epoch": 0.21359223300970873,
|
| 225 |
+
"grad_norm": 0.21912068128585815,
|
| 226 |
+
"learning_rate": 4.996408213563684e-05,
|
| 227 |
+
"loss": 1.4053853750228882,
|
| 228 |
+
"mean_token_accuracy": 0.6167104989290237,
|
| 229 |
+
"num_tokens": 2138535.0,
|
| 230 |
+
"step": 22
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 1.4844385087490082,
|
| 234 |
+
"epoch": 0.22330097087378642,
|
| 235 |
+
"grad_norm": 0.22786955535411835,
|
| 236 |
+
"learning_rate": 4.994828372600649e-05,
|
| 237 |
+
"loss": 1.3828628063201904,
|
| 238 |
+
"mean_token_accuracy": 0.6216765120625496,
|
| 239 |
+
"num_tokens": 2235538.0,
|
| 240 |
+
"step": 23
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 1.4436479061841965,
|
| 244 |
+
"epoch": 0.23300970873786409,
|
| 245 |
+
"grad_norm": 0.19272480905056,
|
| 246 |
+
"learning_rate": 4.9929617171937724e-05,
|
| 247 |
+
"loss": 1.3706296682357788,
|
| 248 |
+
"mean_token_accuracy": 0.6209864541888237,
|
| 249 |
+
"num_tokens": 2332954.0,
|
| 250 |
+
"step": 24
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 1.4084927588701248,
|
| 254 |
+
"epoch": 0.24271844660194175,
|
| 255 |
+
"grad_norm": 0.17803719639778137,
|
| 256 |
+
"learning_rate": 4.9908084619404735e-05,
|
| 257 |
+
"loss": 1.3561553955078125,
|
| 258 |
+
"mean_token_accuracy": 0.6240377500653267,
|
| 259 |
+
"num_tokens": 2431031.0,
|
| 260 |
+
"step": 25
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 1.3695293813943863,
|
| 264 |
+
"epoch": 0.2524271844660194,
|
| 265 |
+
"grad_norm": 0.1710546761751175,
|
| 266 |
+
"learning_rate": 4.988368854386722e-05,
|
| 267 |
+
"loss": 1.3544114828109741,
|
| 268 |
+
"mean_token_accuracy": 0.6251663640141487,
|
| 269 |
+
"num_tokens": 2527933.0,
|
| 270 |
+
"step": 26
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 1.2857100814580917,
|
| 274 |
+
"epoch": 0.2621359223300971,
|
| 275 |
+
"grad_norm": 0.18847821652889252,
|
| 276 |
+
"learning_rate": 4.985643174998578e-05,
|
| 277 |
+
"loss": 1.3139867782592773,
|
| 278 |
+
"mean_token_accuracy": 0.6356627941131592,
|
| 279 |
+
"num_tokens": 2625130.0,
|
| 280 |
+
"step": 27
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 1.280667930841446,
|
| 284 |
+
"epoch": 0.27184466019417475,
|
| 285 |
+
"grad_norm": 0.19685013592243195,
|
| 286 |
+
"learning_rate": 4.982631737129948e-05,
|
| 287 |
+
"loss": 1.3132545948028564,
|
| 288 |
+
"mean_token_accuracy": 0.6352921947836876,
|
| 289 |
+
"num_tokens": 2722735.0,
|
| 290 |
+
"step": 28
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 1.3028772920370102,
|
| 294 |
+
"epoch": 0.2815533980582524,
|
| 295 |
+
"grad_norm": 0.19354666769504547,
|
| 296 |
+
"learning_rate": 4.9793348869865616e-05,
|
| 297 |
+
"loss": 1.3400448560714722,
|
| 298 |
+
"mean_token_accuracy": 0.6271930709481239,
|
| 299 |
+
"num_tokens": 2820721.0,
|
| 300 |
+
"step": 29
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 1.3173751831054688,
|
| 304 |
+
"epoch": 0.2912621359223301,
|
| 305 |
+
"grad_norm": 0.16872914135456085,
|
| 306 |
+
"learning_rate": 4.9757530035861716e-05,
|
| 307 |
+
"loss": 1.3304100036621094,
|
| 308 |
+
"mean_token_accuracy": 0.6323504224419594,
|
| 309 |
+
"num_tokens": 2918531.0,
|
| 310 |
+
"step": 30
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 1.284382238984108,
|
| 314 |
+
"epoch": 0.30097087378640774,
|
| 315 |
+
"grad_norm": 0.17004726827144623,
|
| 316 |
+
"learning_rate": 4.971886498714977e-05,
|
| 317 |
+
"loss": 1.2796059846878052,
|
| 318 |
+
"mean_token_accuracy": 0.6409082934260368,
|
| 319 |
+
"num_tokens": 3014027.0,
|
| 320 |
+
"step": 31
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 1.3059177845716476,
|
| 324 |
+
"epoch": 0.3106796116504854,
|
| 325 |
+
"grad_norm": 0.17118602991104126,
|
| 326 |
+
"learning_rate": 4.967735816880286e-05,
|
| 327 |
+
"loss": 1.2877871990203857,
|
| 328 |
+
"mean_token_accuracy": 0.6396790593862534,
|
| 329 |
+
"num_tokens": 3111172.0,
|
| 330 |
+
"step": 32
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 1.3147014528512955,
|
| 334 |
+
"epoch": 0.32038834951456313,
|
| 335 |
+
"grad_norm": 0.16340142488479614,
|
| 336 |
+
"learning_rate": 4.963301435259413e-05,
|
| 337 |
+
"loss": 1.2802796363830566,
|
| 338 |
+
"mean_token_accuracy": 0.6386668905615807,
|
| 339 |
+
"num_tokens": 3208860.0,
|
| 340 |
+
"step": 33
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 1.3065699636936188,
|
| 344 |
+
"epoch": 0.3300970873786408,
|
| 345 |
+
"grad_norm": 0.1647864431142807,
|
| 346 |
+
"learning_rate": 4.95858386364482e-05,
|
| 347 |
+
"loss": 1.2798354625701904,
|
| 348 |
+
"mean_token_accuracy": 0.6393692642450333,
|
| 349 |
+
"num_tokens": 3305964.0,
|
| 350 |
+
"step": 34
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 1.2940323948860168,
|
| 354 |
+
"epoch": 0.33980582524271846,
|
| 355 |
+
"grad_norm": 0.15510039031505585,
|
| 356 |
+
"learning_rate": 4.9535836443855096e-05,
|
| 357 |
+
"loss": 1.2712514400482178,
|
| 358 |
+
"mean_token_accuracy": 0.6405108198523521,
|
| 359 |
+
"num_tokens": 3403337.0,
|
| 360 |
+
"step": 35
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 1.2636306136846542,
|
| 364 |
+
"epoch": 0.34951456310679613,
|
| 365 |
+
"grad_norm": 0.16528593003749847,
|
| 366 |
+
"learning_rate": 4.948301352324673e-05,
|
| 367 |
+
"loss": 1.2383002042770386,
|
| 368 |
+
"mean_token_accuracy": 0.6498897895216942,
|
| 369 |
+
"num_tokens": 3500500.0,
|
| 370 |
+
"step": 36
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 1.2304436564445496,
|
| 374 |
+
"epoch": 0.3592233009708738,
|
| 375 |
+
"grad_norm": 0.15354204177856445,
|
| 376 |
+
"learning_rate": 4.942737594733609e-05,
|
| 377 |
+
"loss": 1.2233033180236816,
|
| 378 |
+
"mean_token_accuracy": 0.6514501944184303,
|
| 379 |
+
"num_tokens": 3597306.0,
|
| 380 |
+
"step": 37
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 1.2565466612577438,
|
| 384 |
+
"epoch": 0.36893203883495146,
|
| 385 |
+
"grad_norm": 0.15500810742378235,
|
| 386 |
+
"learning_rate": 4.9368930112419e-05,
|
| 387 |
+
"loss": 1.2482693195343018,
|
| 388 |
+
"mean_token_accuracy": 0.645413227379322,
|
| 389 |
+
"num_tokens": 3694352.0,
|
| 390 |
+
"step": 38
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 1.2443159818649292,
|
| 394 |
+
"epoch": 0.3786407766990291,
|
| 395 |
+
"grad_norm": 0.15541698038578033,
|
| 396 |
+
"learning_rate": 4.930768273763889e-05,
|
| 397 |
+
"loss": 1.2520265579223633,
|
| 398 |
+
"mean_token_accuracy": 0.6438535004854202,
|
| 399 |
+
"num_tokens": 3792464.0,
|
| 400 |
+
"step": 39
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 1.2296875715255737,
|
| 404 |
+
"epoch": 0.3883495145631068,
|
| 405 |
+
"grad_norm": 0.15958574414253235,
|
| 406 |
+
"learning_rate": 4.92436408642143e-05,
|
| 407 |
+
"loss": 1.2351443767547607,
|
| 408 |
+
"mean_token_accuracy": 0.6492253467440605,
|
| 409 |
+
"num_tokens": 3889619.0,
|
| 410 |
+
"step": 40
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 1.2195448875427246,
|
| 414 |
+
"epoch": 0.39805825242718446,
|
| 415 |
+
"grad_norm": 0.1615312397480011,
|
| 416 |
+
"learning_rate": 4.917681185462934e-05,
|
| 417 |
+
"loss": 1.2214652299880981,
|
| 418 |
+
"mean_token_accuracy": 0.6524631232023239,
|
| 419 |
+
"num_tokens": 3986630.0,
|
| 420 |
+
"step": 41
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 1.2140728384256363,
|
| 424 |
+
"epoch": 0.4077669902912621,
|
| 425 |
+
"grad_norm": 0.15110917389392853,
|
| 426 |
+
"learning_rate": 4.910720339178735e-05,
|
| 427 |
+
"loss": 1.2222949266433716,
|
| 428 |
+
"mean_token_accuracy": 0.6521077156066895,
|
| 429 |
+
"num_tokens": 4083691.0,
|
| 430 |
+
"step": 42
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 1.2051743566989899,
|
| 434 |
+
"epoch": 0.4174757281553398,
|
| 435 |
+
"grad_norm": 0.1491296887397766,
|
| 436 |
+
"learning_rate": 4.90348234781276e-05,
|
| 437 |
+
"loss": 1.2039450407028198,
|
| 438 |
+
"mean_token_accuracy": 0.654543362557888,
|
| 439 |
+
"num_tokens": 4181870.0,
|
| 440 |
+
"step": 43
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"entropy": 1.2167726755142212,
|
| 444 |
+
"epoch": 0.42718446601941745,
|
| 445 |
+
"grad_norm": 0.1601928472518921,
|
| 446 |
+
"learning_rate": 4.895968043470532e-05,
|
| 447 |
+
"loss": 1.2167367935180664,
|
| 448 |
+
"mean_token_accuracy": 0.65306556224823,
|
| 449 |
+
"num_tokens": 4277672.0,
|
| 450 |
+
"step": 44
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"entropy": 1.1795921474695206,
|
| 454 |
+
"epoch": 0.4368932038834951,
|
| 455 |
+
"grad_norm": 0.14628776907920837,
|
| 456 |
+
"learning_rate": 4.8881782900235094e-05,
|
| 457 |
+
"loss": 1.1818878650665283,
|
| 458 |
+
"mean_token_accuracy": 0.6603984162211418,
|
| 459 |
+
"num_tokens": 4375365.0,
|
| 460 |
+
"step": 45
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"entropy": 1.2080871313810349,
|
| 464 |
+
"epoch": 0.44660194174757284,
|
| 465 |
+
"grad_norm": 0.15034087002277374,
|
| 466 |
+
"learning_rate": 4.880113983009768e-05,
|
| 467 |
+
"loss": 1.2044813632965088,
|
| 468 |
+
"mean_token_accuracy": 0.6534772142767906,
|
| 469 |
+
"num_tokens": 4472689.0,
|
| 470 |
+
"step": 46
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"entropy": 1.2424661964178085,
|
| 474 |
+
"epoch": 0.4563106796116505,
|
| 475 |
+
"grad_norm": 0.14910851418972015,
|
| 476 |
+
"learning_rate": 4.87177604953105e-05,
|
| 477 |
+
"loss": 1.2322750091552734,
|
| 478 |
+
"mean_token_accuracy": 0.6469002515077591,
|
| 479 |
+
"num_tokens": 4569961.0,
|
| 480 |
+
"step": 47
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"entropy": 1.209616169333458,
|
| 484 |
+
"epoch": 0.46601941747572817,
|
| 485 |
+
"grad_norm": 0.14911304414272308,
|
| 486 |
+
"learning_rate": 4.86316544814618e-05,
|
| 487 |
+
"loss": 1.2000218629837036,
|
| 488 |
+
"mean_token_accuracy": 0.6570775136351585,
|
| 489 |
+
"num_tokens": 4667359.0,
|
| 490 |
+
"step": 48
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"entropy": 1.201382964849472,
|
| 494 |
+
"epoch": 0.47572815533980584,
|
| 495 |
+
"grad_norm": 0.17708911001682281,
|
| 496 |
+
"learning_rate": 4.854283168760868e-05,
|
| 497 |
+
"loss": 1.1916768550872803,
|
| 498 |
+
"mean_token_accuracy": 0.6561535075306892,
|
| 499 |
+
"num_tokens": 4765400.0,
|
| 500 |
+
"step": 49
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"entropy": 1.1911841928958893,
|
| 504 |
+
"epoch": 0.4854368932038835,
|
| 505 |
+
"grad_norm": 0.1523158699274063,
|
| 506 |
+
"learning_rate": 4.8451302325139004e-05,
|
| 507 |
+
"loss": 1.1832383871078491,
|
| 508 |
+
"mean_token_accuracy": 0.6573370844125748,
|
| 509 |
+
"num_tokens": 4863204.0,
|
| 510 |
+
"step": 50
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"entropy": 1.1881461590528488,
|
| 514 |
+
"epoch": 0.49514563106796117,
|
| 515 |
+
"grad_norm": 0.15072602033615112,
|
| 516 |
+
"learning_rate": 4.835707691659753e-05,
|
| 517 |
+
"loss": 1.1761033535003662,
|
| 518 |
+
"mean_token_accuracy": 0.6590301543474197,
|
| 519 |
+
"num_tokens": 4960926.0,
|
| 520 |
+
"step": 51
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"entropy": 1.1763849258422852,
|
| 524 |
+
"epoch": 0.5048543689320388,
|
| 525 |
+
"grad_norm": 0.15600641071796417,
|
| 526 |
+
"learning_rate": 4.8260166294476164e-05,
|
| 527 |
+
"loss": 1.1728320121765137,
|
| 528 |
+
"mean_token_accuracy": 0.6621676161885262,
|
| 529 |
+
"num_tokens": 5058013.0,
|
| 530 |
+
"step": 52
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"entropy": 1.1916624307632446,
|
| 534 |
+
"epoch": 0.5145631067961165,
|
| 535 |
+
"grad_norm": 0.15378843247890472,
|
| 536 |
+
"learning_rate": 4.8160581599968625e-05,
|
| 537 |
+
"loss": 1.184821367263794,
|
| 538 |
+
"mean_token_accuracy": 0.6572789996862411,
|
| 539 |
+
"num_tokens": 5153970.0,
|
| 540 |
+
"step": 53
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"entropy": 1.1805166453123093,
|
| 544 |
+
"epoch": 0.5242718446601942,
|
| 545 |
+
"grad_norm": 0.15211763978004456,
|
| 546 |
+
"learning_rate": 4.8058334281689595e-05,
|
| 547 |
+
"loss": 1.1789004802703857,
|
| 548 |
+
"mean_token_accuracy": 0.658557578921318,
|
| 549 |
+
"num_tokens": 5251276.0,
|
| 550 |
+
"step": 54
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"entropy": 1.1733617633581161,
|
| 554 |
+
"epoch": 0.5339805825242718,
|
| 555 |
+
"grad_norm": 0.15024270117282867,
|
| 556 |
+
"learning_rate": 4.7953436094358595e-05,
|
| 557 |
+
"loss": 1.1704764366149902,
|
| 558 |
+
"mean_token_accuracy": 0.6585692763328552,
|
| 559 |
+
"num_tokens": 5348605.0,
|
| 560 |
+
"step": 55
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"entropy": 1.1367567777633667,
|
| 564 |
+
"epoch": 0.5436893203883495,
|
| 565 |
+
"grad_norm": 0.14717121422290802,
|
| 566 |
+
"learning_rate": 4.784589909744855e-05,
|
| 567 |
+
"loss": 1.1350934505462646,
|
| 568 |
+
"mean_token_accuracy": 0.6707980632781982,
|
| 569 |
+
"num_tokens": 5446513.0,
|
| 570 |
+
"step": 56
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"entropy": 1.1633624881505966,
|
| 574 |
+
"epoch": 0.5533980582524272,
|
| 575 |
+
"grad_norm": 0.15170669555664062,
|
| 576 |
+
"learning_rate": 4.7735735653799463e-05,
|
| 577 |
+
"loss": 1.1654052734375,
|
| 578 |
+
"mean_token_accuracy": 0.6653316840529442,
|
| 579 |
+
"num_tokens": 5543963.0,
|
| 580 |
+
"step": 57
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"entropy": 1.1694072782993317,
|
| 584 |
+
"epoch": 0.5631067961165048,
|
| 585 |
+
"grad_norm": 0.14897707104682922,
|
| 586 |
+
"learning_rate": 4.762295842819707e-05,
|
| 587 |
+
"loss": 1.1644500494003296,
|
| 588 |
+
"mean_token_accuracy": 0.6641355082392693,
|
| 589 |
+
"num_tokens": 5641181.0,
|
| 590 |
+
"step": 58
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"entropy": 1.1587684005498886,
|
| 594 |
+
"epoch": 0.5728155339805825,
|
| 595 |
+
"grad_norm": 0.14866051077842712,
|
| 596 |
+
"learning_rate": 4.75075803859169e-05,
|
| 597 |
+
"loss": 1.1571202278137207,
|
| 598 |
+
"mean_token_accuracy": 0.6645473390817642,
|
| 599 |
+
"num_tokens": 5738020.0,
|
| 600 |
+
"step": 59
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"entropy": 1.1717360317707062,
|
| 604 |
+
"epoch": 0.5825242718446602,
|
| 605 |
+
"grad_norm": 0.15497078001499176,
|
| 606 |
+
"learning_rate": 4.7389614791233726e-05,
|
| 607 |
+
"loss": 1.1673715114593506,
|
| 608 |
+
"mean_token_accuracy": 0.662636861205101,
|
| 609 |
+
"num_tokens": 5835528.0,
|
| 610 |
+
"step": 60
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"entropy": 1.1693744212388992,
|
| 614 |
+
"epoch": 0.5922330097087378,
|
| 615 |
+
"grad_norm": 0.15867234766483307,
|
| 616 |
+
"learning_rate": 4.726907520589664e-05,
|
| 617 |
+
"loss": 1.1548094749450684,
|
| 618 |
+
"mean_token_accuracy": 0.6624177768826485,
|
| 619 |
+
"num_tokens": 5933622.0,
|
| 620 |
+
"step": 61
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"entropy": 1.1339199990034103,
|
| 624 |
+
"epoch": 0.6019417475728155,
|
| 625 |
+
"grad_norm": 0.15212447941303253,
|
| 626 |
+
"learning_rate": 4.714597548756996e-05,
|
| 627 |
+
"loss": 1.1325181722640991,
|
| 628 |
+
"mean_token_accuracy": 0.6707736179232597,
|
| 629 |
+
"num_tokens": 6030609.0,
|
| 630 |
+
"step": 62
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"entropy": 1.1296663135290146,
|
| 634 |
+
"epoch": 0.6116504854368932,
|
| 635 |
+
"grad_norm": 0.15575166046619415,
|
| 636 |
+
"learning_rate": 4.702032978824011e-05,
|
| 637 |
+
"loss": 1.1267575025558472,
|
| 638 |
+
"mean_token_accuracy": 0.6701638028025627,
|
| 639 |
+
"num_tokens": 6127908.0,
|
| 640 |
+
"step": 63
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"entropy": 1.1318050771951675,
|
| 644 |
+
"epoch": 0.6213592233009708,
|
| 645 |
+
"grad_norm": 0.15813998878002167,
|
| 646 |
+
"learning_rate": 4.6892152552588655e-05,
|
| 647 |
+
"loss": 1.1390020847320557,
|
| 648 |
+
"mean_token_accuracy": 0.6672858372330666,
|
| 649 |
+
"num_tokens": 6225260.0,
|
| 650 |
+
"step": 64
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"entropy": 1.1477476954460144,
|
| 654 |
+
"epoch": 0.6310679611650486,
|
| 655 |
+
"grad_norm": 0.15706756711006165,
|
| 656 |
+
"learning_rate": 4.6761458516331655e-05,
|
| 657 |
+
"loss": 1.153120994567871,
|
| 658 |
+
"mean_token_accuracy": 0.663187600672245,
|
| 659 |
+
"num_tokens": 6322811.0,
|
| 660 |
+
"step": 65
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"entropy": 1.133908674120903,
|
| 664 |
+
"epoch": 0.6407766990291263,
|
| 665 |
+
"grad_norm": 0.1579563319683075,
|
| 666 |
+
"learning_rate": 4.662826270452565e-05,
|
| 667 |
+
"loss": 1.1408581733703613,
|
| 668 |
+
"mean_token_accuracy": 0.6672231107950211,
|
| 669 |
+
"num_tokens": 6419134.0,
|
| 670 |
+
"step": 66
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"entropy": 1.150125876069069,
|
| 674 |
+
"epoch": 0.6504854368932039,
|
| 675 |
+
"grad_norm": 0.15973767638206482,
|
| 676 |
+
"learning_rate": 4.649258042984026e-05,
|
| 677 |
+
"loss": 1.1557530164718628,
|
| 678 |
+
"mean_token_accuracy": 0.6634695678949356,
|
| 679 |
+
"num_tokens": 6516137.0,
|
| 680 |
+
"step": 67
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"entropy": 1.124921292066574,
|
| 684 |
+
"epoch": 0.6601941747572816,
|
| 685 |
+
"grad_norm": 0.15293626487255096,
|
| 686 |
+
"learning_rate": 4.6354427290797875e-05,
|
| 687 |
+
"loss": 1.1272459030151367,
|
| 688 |
+
"mean_token_accuracy": 0.6693216189742088,
|
| 689 |
+
"num_tokens": 6613796.0,
|
| 690 |
+
"step": 68
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"entropy": 1.1551329046487808,
|
| 694 |
+
"epoch": 0.6699029126213593,
|
| 695 |
+
"grad_norm": 0.15234892070293427,
|
| 696 |
+
"learning_rate": 4.621381916998029e-05,
|
| 697 |
+
"loss": 1.1462955474853516,
|
| 698 |
+
"mean_token_accuracy": 0.6653169468045235,
|
| 699 |
+
"num_tokens": 6711660.0,
|
| 700 |
+
"step": 69
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"entropy": 1.1397110670804977,
|
| 704 |
+
"epoch": 0.6796116504854369,
|
| 705 |
+
"grad_norm": 0.15561261773109436,
|
| 706 |
+
"learning_rate": 4.607077223220285e-05,
|
| 707 |
+
"loss": 1.1248576641082764,
|
| 708 |
+
"mean_token_accuracy": 0.6719892099499702,
|
| 709 |
+
"num_tokens": 6808587.0,
|
| 710 |
+
"step": 70
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"entropy": 1.1522215157747269,
|
| 714 |
+
"epoch": 0.6893203883495146,
|
| 715 |
+
"grad_norm": 0.1659662127494812,
|
| 716 |
+
"learning_rate": 4.592530292265609e-05,
|
| 717 |
+
"loss": 1.1409823894500732,
|
| 718 |
+
"mean_token_accuracy": 0.6674581989645958,
|
| 719 |
+
"num_tokens": 6906120.0,
|
| 720 |
+
"step": 71
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"entropy": 1.1350633352994919,
|
| 724 |
+
"epoch": 0.6990291262135923,
|
| 725 |
+
"grad_norm": 0.15686708688735962,
|
| 726 |
+
"learning_rate": 4.5777427965015096e-05,
|
| 727 |
+
"loss": 1.128638744354248,
|
| 728 |
+
"mean_token_accuracy": 0.6704377010464668,
|
| 729 |
+
"num_tokens": 7004058.0,
|
| 730 |
+
"step": 72
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"entropy": 1.1182153522968292,
|
| 734 |
+
"epoch": 0.7087378640776699,
|
| 735 |
+
"grad_norm": 0.15111538767814636,
|
| 736 |
+
"learning_rate": 4.562716435951692e-05,
|
| 737 |
+
"loss": 1.1166245937347412,
|
| 738 |
+
"mean_token_accuracy": 0.6737237125635147,
|
| 739 |
+
"num_tokens": 7101920.0,
|
| 740 |
+
"step": 73
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"entropy": 1.1188742965459824,
|
| 744 |
+
"epoch": 0.7184466019417476,
|
| 745 |
+
"grad_norm": 0.15409265458583832,
|
| 746 |
+
"learning_rate": 4.5474529381006146e-05,
|
| 747 |
+
"loss": 1.118614673614502,
|
| 748 |
+
"mean_token_accuracy": 0.6710415109992027,
|
| 749 |
+
"num_tokens": 7198756.0,
|
| 750 |
+
"step": 74
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"entropy": 1.1149023473262787,
|
| 754 |
+
"epoch": 0.7281553398058253,
|
| 755 |
+
"grad_norm": 0.16151487827301025,
|
| 756 |
+
"learning_rate": 4.531954057694897e-05,
|
| 757 |
+
"loss": 1.1311017274856567,
|
| 758 |
+
"mean_token_accuracy": 0.6720475554466248,
|
| 759 |
+
"num_tokens": 7296339.0,
|
| 760 |
+
"step": 75
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"entropy": 1.1312980204820633,
|
| 764 |
+
"epoch": 0.7378640776699029,
|
| 765 |
+
"grad_norm": 0.1549658626317978,
|
| 766 |
+
"learning_rate": 4.516221576541581e-05,
|
| 767 |
+
"loss": 1.1340723037719727,
|
| 768 |
+
"mean_token_accuracy": 0.6688062027096748,
|
| 769 |
+
"num_tokens": 7393950.0,
|
| 770 |
+
"step": 76
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"entropy": 1.1147898435592651,
|
| 774 |
+
"epoch": 0.7475728155339806,
|
| 775 |
+
"grad_norm": 0.15624849498271942,
|
| 776 |
+
"learning_rate": 4.5002573033032904e-05,
|
| 777 |
+
"loss": 1.1091203689575195,
|
| 778 |
+
"mean_token_accuracy": 0.674225278198719,
|
| 779 |
+
"num_tokens": 7489205.0,
|
| 780 |
+
"step": 77
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"entropy": 1.137469932436943,
|
| 784 |
+
"epoch": 0.7572815533980582,
|
| 785 |
+
"grad_norm": 0.16516146063804626,
|
| 786 |
+
"learning_rate": 4.484063073290301e-05,
|
| 787 |
+
"loss": 1.1193323135375977,
|
| 788 |
+
"mean_token_accuracy": 0.6739235296845436,
|
| 789 |
+
"num_tokens": 7584161.0,
|
| 790 |
+
"step": 78
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"entropy": 1.1054588705301285,
|
| 794 |
+
"epoch": 0.7669902912621359,
|
| 795 |
+
"grad_norm": 0.15215378999710083,
|
| 796 |
+
"learning_rate": 4.467640748249548e-05,
|
| 797 |
+
"loss": 1.1007866859436035,
|
| 798 |
+
"mean_token_accuracy": 0.6783005967736244,
|
| 799 |
+
"num_tokens": 7681353.0,
|
| 800 |
+
"step": 79
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"entropy": 1.0961224287748337,
|
| 804 |
+
"epoch": 0.7766990291262136,
|
| 805 |
+
"grad_norm": 0.15287643671035767,
|
| 806 |
+
"learning_rate": 4.4509922161505926e-05,
|
| 807 |
+
"loss": 1.0958147048950195,
|
| 808 |
+
"mean_token_accuracy": 0.676163524389267,
|
| 809 |
+
"num_tokens": 7778582.0,
|
| 810 |
+
"step": 80
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"entropy": 1.1254196166992188,
|
| 814 |
+
"epoch": 0.7864077669902912,
|
| 815 |
+
"grad_norm": 0.16113276779651642,
|
| 816 |
+
"learning_rate": 4.4341193909685686e-05,
|
| 817 |
+
"loss": 1.130951166152954,
|
| 818 |
+
"mean_token_accuracy": 0.6697586253285408,
|
| 819 |
+
"num_tokens": 7874950.0,
|
| 820 |
+
"step": 81
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"entropy": 1.0993820428848267,
|
| 824 |
+
"epoch": 0.7961165048543689,
|
| 825 |
+
"grad_norm": 0.1620422899723053,
|
| 826 |
+
"learning_rate": 4.417024212464152e-05,
|
| 827 |
+
"loss": 1.1005873680114746,
|
| 828 |
+
"mean_token_accuracy": 0.6766335293650627,
|
| 829 |
+
"num_tokens": 7971956.0,
|
| 830 |
+
"step": 82
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"entropy": 1.1041197627782822,
|
| 834 |
+
"epoch": 0.8058252427184466,
|
| 835 |
+
"grad_norm": 0.15546955168247223,
|
| 836 |
+
"learning_rate": 4.399708645960559e-05,
|
| 837 |
+
"loss": 1.10465407371521,
|
| 838 |
+
"mean_token_accuracy": 0.674575038254261,
|
| 839 |
+
"num_tokens": 8068461.0,
|
| 840 |
+
"step": 83
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"entropy": 1.0924506783485413,
|
| 844 |
+
"epoch": 0.8155339805825242,
|
| 845 |
+
"grad_norm": 0.16429384052753448,
|
| 846 |
+
"learning_rate": 4.382174682117598e-05,
|
| 847 |
+
"loss": 1.093902587890625,
|
| 848 |
+
"mean_token_accuracy": 0.6806196495890617,
|
| 849 |
+
"num_tokens": 8166250.0,
|
| 850 |
+
"step": 84
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"entropy": 1.1175890564918518,
|
| 854 |
+
"epoch": 0.8252427184466019,
|
| 855 |
+
"grad_norm": 0.1590225100517273,
|
| 856 |
+
"learning_rate": 4.364424336702825e-05,
|
| 857 |
+
"loss": 1.1183996200561523,
|
| 858 |
+
"mean_token_accuracy": 0.6712751016020775,
|
| 859 |
+
"num_tokens": 8263412.0,
|
| 860 |
+
"step": 85
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"entropy": 1.091995120048523,
|
| 864 |
+
"epoch": 0.8349514563106796,
|
| 865 |
+
"grad_norm": 0.16027086973190308,
|
| 866 |
+
"learning_rate": 4.346459650359798e-05,
|
| 867 |
+
"loss": 1.089324951171875,
|
| 868 |
+
"mean_token_accuracy": 0.6779745444655418,
|
| 869 |
+
"num_tokens": 8361054.0,
|
| 870 |
+
"step": 86
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"entropy": 1.1091380715370178,
|
| 874 |
+
"epoch": 0.8446601941747572,
|
| 875 |
+
"grad_norm": 0.16367396712303162,
|
| 876 |
+
"learning_rate": 4.328282688373479e-05,
|
| 877 |
+
"loss": 1.1101912260055542,
|
| 878 |
+
"mean_token_accuracy": 0.6726596802473068,
|
| 879 |
+
"num_tokens": 8458058.0,
|
| 880 |
+
"step": 87
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"entropy": 1.1332892328500748,
|
| 884 |
+
"epoch": 0.8543689320388349,
|
| 885 |
+
"grad_norm": 0.16062098741531372,
|
| 886 |
+
"learning_rate": 4.3098955404328045e-05,
|
| 887 |
+
"loss": 1.1345933675765991,
|
| 888 |
+
"mean_token_accuracy": 0.669020764529705,
|
| 889 |
+
"num_tokens": 8552707.0,
|
| 890 |
+
"step": 88
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"entropy": 1.124135971069336,
|
| 894 |
+
"epoch": 0.8640776699029126,
|
| 895 |
+
"grad_norm": 0.15737071633338928,
|
| 896 |
+
"learning_rate": 4.29130032039044e-05,
|
| 897 |
+
"loss": 1.1120331287384033,
|
| 898 |
+
"mean_token_accuracy": 0.6742131784558296,
|
| 899 |
+
"num_tokens": 8648715.0,
|
| 900 |
+
"step": 89
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"entropy": 1.11882945895195,
|
| 904 |
+
"epoch": 0.8737864077669902,
|
| 905 |
+
"grad_norm": 0.15959268808364868,
|
| 906 |
+
"learning_rate": 4.272499166019771e-05,
|
| 907 |
+
"loss": 1.117668628692627,
|
| 908 |
+
"mean_token_accuracy": 0.6719657182693481,
|
| 909 |
+
"num_tokens": 8744790.0,
|
| 910 |
+
"step": 90
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"entropy": 1.1137337386608124,
|
| 914 |
+
"epoch": 0.883495145631068,
|
| 915 |
+
"grad_norm": 0.1567354053258896,
|
| 916 |
+
"learning_rate": 4.253494238769134e-05,
|
| 917 |
+
"loss": 1.10910165309906,
|
| 918 |
+
"mean_token_accuracy": 0.6751311644911766,
|
| 919 |
+
"num_tokens": 8841963.0,
|
| 920 |
+
"step": 91
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"entropy": 1.0963155031204224,
|
| 924 |
+
"epoch": 0.8932038834951457,
|
| 925 |
+
"grad_norm": 0.16550451517105103,
|
| 926 |
+
"learning_rate": 4.234287723513326e-05,
|
| 927 |
+
"loss": 1.0936603546142578,
|
| 928 |
+
"mean_token_accuracy": 0.6774952635169029,
|
| 929 |
+
"num_tokens": 8938823.0,
|
| 930 |
+
"step": 92
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"entropy": 1.1137651056051254,
|
| 934 |
+
"epoch": 0.9029126213592233,
|
| 935 |
+
"grad_norm": 0.15746837854385376,
|
| 936 |
+
"learning_rate": 4.2148818283024304e-05,
|
| 937 |
+
"loss": 1.11457097530365,
|
| 938 |
+
"mean_token_accuracy": 0.6719932034611702,
|
| 939 |
+
"num_tokens": 9036976.0,
|
| 940 |
+
"step": 93
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"entropy": 1.085622027516365,
|
| 944 |
+
"epoch": 0.912621359223301,
|
| 945 |
+
"grad_norm": 0.16476289927959442,
|
| 946 |
+
"learning_rate": 4.195278784107964e-05,
|
| 947 |
+
"loss": 1.086329460144043,
|
| 948 |
+
"mean_token_accuracy": 0.677251435816288,
|
| 949 |
+
"num_tokens": 9134903.0,
|
| 950 |
+
"step": 94
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"entropy": 1.1134615540504456,
|
| 954 |
+
"epoch": 0.9223300970873787,
|
| 955 |
+
"grad_norm": 0.16442131996154785,
|
| 956 |
+
"learning_rate": 4.175480844566404e-05,
|
| 957 |
+
"loss": 1.1127569675445557,
|
| 958 |
+
"mean_token_accuracy": 0.6718188151717186,
|
| 959 |
+
"num_tokens": 9231494.0,
|
| 960 |
+
"step": 95
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"entropy": 1.1019631028175354,
|
| 964 |
+
"epoch": 0.9320388349514563,
|
| 965 |
+
"grad_norm": 0.15546253323554993,
|
| 966 |
+
"learning_rate": 4.1554902857200924e-05,
|
| 967 |
+
"loss": 1.0951738357543945,
|
| 968 |
+
"mean_token_accuracy": 0.6784623265266418,
|
| 969 |
+
"num_tokens": 9328418.0,
|
| 970 |
+
"step": 96
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"entropy": 1.0921340584754944,
|
| 974 |
+
"epoch": 0.941747572815534,
|
| 975 |
+
"grad_norm": 0.16863901913166046,
|
| 976 |
+
"learning_rate": 4.135309405755583e-05,
|
| 977 |
+
"loss": 1.0979890823364258,
|
| 978 |
+
"mean_token_accuracy": 0.6765805631875992,
|
| 979 |
+
"num_tokens": 9426256.0,
|
| 980 |
+
"step": 97
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"entropy": 1.104684755206108,
|
| 984 |
+
"epoch": 0.9514563106796117,
|
| 985 |
+
"grad_norm": 0.16420894861221313,
|
| 986 |
+
"learning_rate": 4.11494052473943e-05,
|
| 987 |
+
"loss": 1.106919765472412,
|
| 988 |
+
"mean_token_accuracy": 0.6736476495862007,
|
| 989 |
+
"num_tokens": 9523841.0,
|
| 990 |
+
"step": 98
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"entropy": 1.0703193694353104,
|
| 994 |
+
"epoch": 0.9611650485436893,
|
| 995 |
+
"grad_norm": 0.1605386883020401,
|
| 996 |
+
"learning_rate": 4.094385984351462e-05,
|
| 997 |
+
"loss": 1.0785481929779053,
|
| 998 |
+
"mean_token_accuracy": 0.6812796592712402,
|
| 999 |
+
"num_tokens": 9621225.0,
|
| 1000 |
+
"step": 99
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"entropy": 1.090438723564148,
|
| 1004 |
+
"epoch": 0.970873786407767,
|
| 1005 |
+
"grad_norm": 0.15666428208351135,
|
| 1006 |
+
"learning_rate": 4.073648147615579e-05,
|
| 1007 |
+
"loss": 1.0910429954528809,
|
| 1008 |
+
"mean_token_accuracy": 0.6792959794402122,
|
| 1009 |
+
"num_tokens": 9718805.0,
|
| 1010 |
+
"step": 100
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"entropy": 1.1004114151000977,
|
| 1014 |
+
"epoch": 0.9805825242718447,
|
| 1015 |
+
"grad_norm": 0.16704976558685303,
|
| 1016 |
+
"learning_rate": 4.052729398628089e-05,
|
| 1017 |
+
"loss": 1.0998764038085938,
|
| 1018 |
+
"mean_token_accuracy": 0.6745198145508766,
|
| 1019 |
+
"num_tokens": 9816814.0,
|
| 1020 |
+
"step": 101
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"entropy": 1.0953031778335571,
|
| 1024 |
+
"epoch": 0.9902912621359223,
|
| 1025 |
+
"grad_norm": 0.16081705689430237,
|
| 1026 |
+
"learning_rate": 4.031632142283622e-05,
|
| 1027 |
+
"loss": 1.0844577550888062,
|
| 1028 |
+
"mean_token_accuracy": 0.6796873956918716,
|
| 1029 |
+
"num_tokens": 9914411.0,
|
| 1030 |
+
"step": 102
|
| 1031 |
+
},
|
| 1032 |
+
{
|
| 1033 |
+
"entropy": 1.0845869928598404,
|
| 1034 |
+
"epoch": 1.0,
|
| 1035 |
+
"grad_norm": 0.16136308014392853,
|
| 1036 |
+
"learning_rate": 4.0103588039986556e-05,
|
| 1037 |
+
"loss": 1.0797569751739502,
|
| 1038 |
+
"mean_token_accuracy": 0.6803081929683685,
|
| 1039 |
+
"num_tokens": 10010251.0,
|
| 1040 |
+
"step": 103
|
| 1041 |
+
}
|
| 1042 |
+
],
|
| 1043 |
+
"logging_steps": 1,
|
| 1044 |
+
"max_steps": 309,
|
| 1045 |
+
"num_input_tokens_seen": 0,
|
| 1046 |
+
"num_train_epochs": 3,
|
| 1047 |
+
"save_steps": 500,
|
| 1048 |
+
"stateful_callbacks": {
|
| 1049 |
+
"TrainerControl": {
|
| 1050 |
+
"args": {
|
| 1051 |
+
"should_epoch_stop": false,
|
| 1052 |
+
"should_evaluate": false,
|
| 1053 |
+
"should_log": false,
|
| 1054 |
+
"should_save": true,
|
| 1055 |
+
"should_training_stop": false
|
| 1056 |
+
},
|
| 1057 |
+
"attributes": {}
|
| 1058 |
+
}
|
| 1059 |
+
},
|
| 1060 |
+
"total_flos": 1.4475135272615936e+18,
|
| 1061 |
+
"train_batch_size": 1,
|
| 1062 |
+
"trial_name": null,
|
| 1063 |
+
"trial_params": null
|
| 1064 |
+
}
|