Instructions to use modrill/kodcode_3_qwen3_4b_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modrill/kodcode_3_qwen3_4b_sft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="modrill/kodcode_3_qwen3_4b_sft") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("modrill/kodcode_3_qwen3_4b_sft") model = AutoModelForCausalLM.from_pretrained("modrill/kodcode_3_qwen3_4b_sft") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use modrill/kodcode_3_qwen3_4b_sft with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "modrill/kodcode_3_qwen3_4b_sft" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "modrill/kodcode_3_qwen3_4b_sft", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/modrill/kodcode_3_qwen3_4b_sft
- SGLang
How to use modrill/kodcode_3_qwen3_4b_sft 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 "modrill/kodcode_3_qwen3_4b_sft" \ --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": "modrill/kodcode_3_qwen3_4b_sft", "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 "modrill/kodcode_3_qwen3_4b_sft" \ --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": "modrill/kodcode_3_qwen3_4b_sft", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use modrill/kodcode_3_qwen3_4b_sft with Docker Model Runner:
docker model run hf.co/modrill/kodcode_3_qwen3_4b_sft
Add files using upload-large-folder tool
Browse files- .gitattributes +2 -0
- README.md +52 -10
- chat_template.jinja +12 -0
- checkpoint-659/chat_template.jinja +12 -0
- checkpoint-659/config.json +71 -0
- checkpoint-659/generation_config.json +10 -0
- checkpoint-659/model.safetensors +3 -0
- checkpoint-659/optimizer.pt +3 -0
- checkpoint-659/rng_state_0.pth +3 -0
- checkpoint-659/rng_state_1.pth +3 -0
- checkpoint-659/rng_state_2.pth +3 -0
- checkpoint-659/rng_state_3.pth +3 -0
- checkpoint-659/scheduler.pt +3 -0
- checkpoint-659/tokenizer.json +3 -0
- checkpoint-659/tokenizer_config.json +30 -0
- checkpoint-659/trainer_state.json +684 -0
- checkpoint-659/training_args.bin +3 -0
- config.json +71 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +30 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,5 @@ 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
|
| 37 |
+
checkpoint-659/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
CHANGED
|
@@ -1,16 +1,58 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
tags:
|
| 4 |
-
- qwen3
|
| 5 |
-
- mhm
|
| 6 |
-
- text-generation
|
| 7 |
library_name: transformers
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
-
Auto-uploaded by watcher.
|
| 13 |
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: Qwen/Qwen3-4B-Base
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
library_name: transformers
|
| 4 |
+
model_name: qwen3-4b-sft-kodcode-3
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
- sft
|
| 8 |
+
- trl
|
| 9 |
+
licence: license
|
| 10 |
---
|
| 11 |
|
| 12 |
+
# Model Card for qwen3-4b-sft-kodcode-3
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base).
|
| 15 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
+
|
| 17 |
+
## Quick start
|
| 18 |
+
|
| 19 |
+
```python
|
| 20 |
+
from transformers import pipeline
|
| 21 |
+
|
| 22 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
| 23 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
| 24 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 25 |
+
print(output["generated_text"])
|
| 26 |
+
```
|
| 27 |
+
|
| 28 |
+
## Training procedure
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
This model was trained with SFT.
|
| 35 |
+
|
| 36 |
+
### Framework versions
|
| 37 |
+
|
| 38 |
+
- TRL: 1.5.0.dev0
|
| 39 |
+
- Transformers: 5.8.0
|
| 40 |
+
- Pytorch: 2.11.0
|
| 41 |
+
- Datasets: 4.8.5
|
| 42 |
+
- Tokenizers: 0.22.2
|
| 43 |
+
|
| 44 |
+
## Citations
|
| 45 |
+
|
| 46 |
|
|
|
|
| 47 |
|
| 48 |
+
Cite TRL as:
|
| 49 |
+
|
| 50 |
+
```bibtex
|
| 51 |
+
@software{vonwerra2020trl,
|
| 52 |
+
title = {{TRL: Transformers Reinforcement Learning}},
|
| 53 |
+
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
|
| 54 |
+
license = {Apache-2.0},
|
| 55 |
+
url = {https://github.com/huggingface/trl},
|
| 56 |
+
year = {2020}
|
| 57 |
+
}
|
| 58 |
+
```
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- for message in messages %}
|
| 2 |
+
{%- if message.role == "user" %}
|
| 3 |
+
{{- '<|im_start|>user\n' + message.content + '<|im_end|>\n' }}
|
| 4 |
+
{%- elif message.role == "system" %}
|
| 5 |
+
{{- '<|im_start|>system\n' + message.content + '<|im_end|>\n' }}
|
| 6 |
+
{%- elif message.role == "assistant" %}
|
| 7 |
+
{{- '<|im_start|>assistant\n' }}{% generation %}{{ message.content }}{% endgeneration %}{{ '<|im_end|>\n' }}
|
| 8 |
+
{%- endif %}
|
| 9 |
+
{%- endfor %}
|
| 10 |
+
{%- if add_generation_prompt %}
|
| 11 |
+
{{- '<|im_start|>assistant\n' }}
|
| 12 |
+
{%- endif %}
|
checkpoint-659/chat_template.jinja
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- for message in messages %}
|
| 2 |
+
{%- if message.role == "user" %}
|
| 3 |
+
{{- '<|im_start|>user\n' + message.content + '<|im_end|>\n' }}
|
| 4 |
+
{%- elif message.role == "system" %}
|
| 5 |
+
{{- '<|im_start|>system\n' + message.content + '<|im_end|>\n' }}
|
| 6 |
+
{%- elif message.role == "assistant" %}
|
| 7 |
+
{{- '<|im_start|>assistant\n' }}{% generation %}{{ message.content }}{% endgeneration %}{{ '<|im_end|>\n' }}
|
| 8 |
+
{%- endif %}
|
| 9 |
+
{%- endfor %}
|
| 10 |
+
{%- if add_generation_prompt %}
|
| 11 |
+
{{- '<|im_start|>assistant\n' }}
|
| 12 |
+
{%- endif %}
|
checkpoint-659/config.json
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": null,
|
| 8 |
+
"dtype": "bfloat16",
|
| 9 |
+
"eos_token_id": 151645,
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 2560,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 9728,
|
| 15 |
+
"layer_types": [
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention"
|
| 52 |
+
],
|
| 53 |
+
"max_position_embeddings": 32768,
|
| 54 |
+
"max_window_layers": 36,
|
| 55 |
+
"model_type": "qwen3",
|
| 56 |
+
"num_attention_heads": 32,
|
| 57 |
+
"num_hidden_layers": 36,
|
| 58 |
+
"num_key_value_heads": 8,
|
| 59 |
+
"pad_token_id": 151643,
|
| 60 |
+
"rms_norm_eps": 1e-06,
|
| 61 |
+
"rope_parameters": {
|
| 62 |
+
"rope_theta": 1000000,
|
| 63 |
+
"rope_type": "default"
|
| 64 |
+
},
|
| 65 |
+
"sliding_window": null,
|
| 66 |
+
"tie_word_embeddings": true,
|
| 67 |
+
"transformers_version": "5.8.0",
|
| 68 |
+
"use_cache": false,
|
| 69 |
+
"use_sliding_window": false,
|
| 70 |
+
"vocab_size": 151936
|
| 71 |
+
}
|
checkpoint-659/generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_sample": false,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645,
|
| 5 |
+
151643
|
| 6 |
+
],
|
| 7 |
+
"max_new_tokens": 2048,
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"transformers_version": "5.8.0"
|
| 10 |
+
}
|
checkpoint-659/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7e18e9f555d63e04b2a5d67a10939ba633cf584772c20342c840bc3158f275c
|
| 3 |
+
size 8044982080
|
checkpoint-659/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:71c2839680bde13ef34d634ec2c6bbbe6f84f6c1edb7b687385a7647accfd8ce
|
| 3 |
+
size 16090225449
|
checkpoint-659/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:659b1cdee2219458dd84ce6a632a595465680b8080e5c44bd600ff97eca8d752
|
| 3 |
+
size 15429
|
checkpoint-659/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86accf27064cdd503053e90476a6bd10de333d4ff0594535ad55ea13a473c91d
|
| 3 |
+
size 15429
|
checkpoint-659/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18ca8d714ef40be035404c1957b5a4dee84e1f43980408393f8aa710552ee6f6
|
| 3 |
+
size 15429
|
checkpoint-659/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2cfdebe99e40accc9c9d8f09c63136a14abda997d9b501969ec8e16e9d183179
|
| 3 |
+
size 15429
|
checkpoint-659/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:638f76f10b8122f6b6d00ef579bef156aea843a74d8ad66f5d19ea5b06be426f
|
| 3 |
+
size 1465
|
checkpoint-659/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
|
checkpoint-659/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 |
+
}
|
checkpoint-659/trainer_state.json
ADDED
|
@@ -0,0 +1,684 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 659,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 0.3487173642963171,
|
| 14 |
+
"epoch": 0.015186028853454821,
|
| 15 |
+
"grad_norm": 1.609375,
|
| 16 |
+
"learning_rate": 2.7272727272727272e-06,
|
| 17 |
+
"loss": 0.4099268913269043,
|
| 18 |
+
"mean_token_accuracy": 0.8717762351036071,
|
| 19 |
+
"num_tokens": 568708.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 0.37818768359720706,
|
| 24 |
+
"epoch": 0.030372057706909643,
|
| 25 |
+
"grad_norm": 0.87890625,
|
| 26 |
+
"learning_rate": 5.7575757575757586e-06,
|
| 27 |
+
"loss": 0.39949469566345214,
|
| 28 |
+
"mean_token_accuracy": 0.8737476468086243,
|
| 29 |
+
"num_tokens": 1125639.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 0.40618006475269797,
|
| 34 |
+
"epoch": 0.04555808656036447,
|
| 35 |
+
"grad_norm": 0.70703125,
|
| 36 |
+
"learning_rate": 8.787878787878788e-06,
|
| 37 |
+
"loss": 0.3975033760070801,
|
| 38 |
+
"mean_token_accuracy": 0.8727035835385323,
|
| 39 |
+
"num_tokens": 1683225.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 0.3896496780216694,
|
| 44 |
+
"epoch": 0.060744115413819286,
|
| 45 |
+
"grad_norm": 0.6953125,
|
| 46 |
+
"learning_rate": 9.997733473639876e-06,
|
| 47 |
+
"loss": 0.3925030708312988,
|
| 48 |
+
"mean_token_accuracy": 0.8742863699793816,
|
| 49 |
+
"num_tokens": 2236895.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 0.37322904225438835,
|
| 54 |
+
"epoch": 0.07593014426727411,
|
| 55 |
+
"grad_norm": 0.68359375,
|
| 56 |
+
"learning_rate": 9.983889919973586e-06,
|
| 57 |
+
"loss": 0.3752753257751465,
|
| 58 |
+
"mean_token_accuracy": 0.8792506881058216,
|
| 59 |
+
"num_tokens": 2818707.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 0.3811411205679178,
|
| 64 |
+
"epoch": 0.09111617312072894,
|
| 65 |
+
"grad_norm": 0.66796875,
|
| 66 |
+
"learning_rate": 9.957496810072027e-06,
|
| 67 |
+
"loss": 0.38604438304901123,
|
| 68 |
+
"mean_token_accuracy": 0.8750339619815349,
|
| 69 |
+
"num_tokens": 3351348.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 0.3796327030286193,
|
| 74 |
+
"epoch": 0.10630220197418375,
|
| 75 |
+
"grad_norm": 0.66015625,
|
| 76 |
+
"learning_rate": 9.918620602428916e-06,
|
| 77 |
+
"loss": 0.37710745334625245,
|
| 78 |
+
"mean_token_accuracy": 0.8776259452104569,
|
| 79 |
+
"num_tokens": 3915545.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 0.37812459245324137,
|
| 84 |
+
"epoch": 0.12148823082763857,
|
| 85 |
+
"grad_norm": 0.64453125,
|
| 86 |
+
"learning_rate": 9.867359188282193e-06,
|
| 87 |
+
"loss": 0.38009963035583494,
|
| 88 |
+
"mean_token_accuracy": 0.8783061921596527,
|
| 89 |
+
"num_tokens": 4462906.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 0.3751340739428997,
|
| 94 |
+
"epoch": 0.1366742596810934,
|
| 95 |
+
"grad_norm": 0.6640625,
|
| 96 |
+
"learning_rate": 9.803841645121505e-06,
|
| 97 |
+
"loss": 0.37636594772338866,
|
| 98 |
+
"mean_token_accuracy": 0.8778362341225148,
|
| 99 |
+
"num_tokens": 5029003.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 0.37551863975822924,
|
| 104 |
+
"epoch": 0.15186028853454822,
|
| 105 |
+
"grad_norm": 0.6640625,
|
| 106 |
+
"learning_rate": 9.728227911667934e-06,
|
| 107 |
+
"loss": 0.3773549795150757,
|
| 108 |
+
"mean_token_accuracy": 0.8772883579134941,
|
| 109 |
+
"num_tokens": 5596042.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 0.3809764288365841,
|
| 114 |
+
"epoch": 0.16704631738800305,
|
| 115 |
+
"grad_norm": 0.71484375,
|
| 116 |
+
"learning_rate": 9.640708385144403e-06,
|
| 117 |
+
"loss": 0.3807323932647705,
|
| 118 |
+
"mean_token_accuracy": 0.8774459846317768,
|
| 119 |
+
"num_tokens": 6144821.0,
|
| 120 |
+
"step": 110
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 0.37467240951955316,
|
| 124 |
+
"epoch": 0.18223234624145787,
|
| 125 |
+
"grad_norm": 0.62890625,
|
| 126 |
+
"learning_rate": 9.541503441850844e-06,
|
| 127 |
+
"loss": 0.37542564868927003,
|
| 128 |
+
"mean_token_accuracy": 0.8782215595245362,
|
| 129 |
+
"num_tokens": 6691491.0,
|
| 130 |
+
"step": 120
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 0.3787713166326284,
|
| 134 |
+
"epoch": 0.19741837509491267,
|
| 135 |
+
"grad_norm": 0.7109375,
|
| 136 |
+
"learning_rate": 9.430862882251279e-06,
|
| 137 |
+
"loss": 0.37993783950805665,
|
| 138 |
+
"mean_token_accuracy": 0.8774278596043587,
|
| 139 |
+
"num_tokens": 7247335.0,
|
| 140 |
+
"step": 130
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 0.3862619888037443,
|
| 144 |
+
"epoch": 0.2126044039483675,
|
| 145 |
+
"grad_norm": 0.71484375,
|
| 146 |
+
"learning_rate": 9.309065301970193e-06,
|
| 147 |
+
"loss": 0.38727219104766847,
|
| 148 |
+
"mean_token_accuracy": 0.8749251998960972,
|
| 149 |
+
"num_tokens": 7808664.0,
|
| 150 |
+
"step": 140
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 0.3778634283691645,
|
| 154 |
+
"epoch": 0.22779043280182232,
|
| 155 |
+
"grad_norm": 0.71484375,
|
| 156 |
+
"learning_rate": 9.176417390281944e-06,
|
| 157 |
+
"loss": 0.38028583526611326,
|
| 158 |
+
"mean_token_accuracy": 0.8772468723356723,
|
| 159 |
+
"num_tokens": 8360893.0,
|
| 160 |
+
"step": 150
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 0.3749677825719118,
|
| 164 |
+
"epoch": 0.24297646165527714,
|
| 165 |
+
"grad_norm": 0.69921875,
|
| 166 |
+
"learning_rate": 9.033253157859715e-06,
|
| 167 |
+
"loss": 0.37344467639923096,
|
| 168 |
+
"mean_token_accuracy": 0.8786589197814465,
|
| 169 |
+
"num_tokens": 8905139.0,
|
| 170 |
+
"step": 160
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 0.37994367331266404,
|
| 174 |
+
"epoch": 0.25816249050873197,
|
| 175 |
+
"grad_norm": 0.69140625,
|
| 176 |
+
"learning_rate": 8.879933095728485e-06,
|
| 177 |
+
"loss": 0.38379650115966796,
|
| 178 |
+
"mean_token_accuracy": 0.8768095754086971,
|
| 179 |
+
"num_tokens": 9467791.0,
|
| 180 |
+
"step": 170
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 0.3774459037929773,
|
| 184 |
+
"epoch": 0.2733485193621868,
|
| 185 |
+
"grad_norm": 0.7109375,
|
| 186 |
+
"learning_rate": 8.716843267539868e-06,
|
| 187 |
+
"loss": 0.3767258644104004,
|
| 188 |
+
"mean_token_accuracy": 0.8779186218976974,
|
| 189 |
+
"num_tokens": 10013526.0,
|
| 190 |
+
"step": 180
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 0.3706828704103827,
|
| 194 |
+
"epoch": 0.2885345482156416,
|
| 195 |
+
"grad_norm": 0.6875,
|
| 196 |
+
"learning_rate": 8.544394337454409e-06,
|
| 197 |
+
"loss": 0.373125958442688,
|
| 198 |
+
"mean_token_accuracy": 0.8792334951460361,
|
| 199 |
+
"num_tokens": 10567209.0,
|
| 200 |
+
"step": 190
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 0.3781122103333473,
|
| 204 |
+
"epoch": 0.30372057706909644,
|
| 205 |
+
"grad_norm": 0.7109375,
|
| 206 |
+
"learning_rate": 8.36302053607924e-06,
|
| 207 |
+
"loss": 0.3779691457748413,
|
| 208 |
+
"mean_token_accuracy": 0.877835976332426,
|
| 209 |
+
"num_tokens": 11121802.0,
|
| 210 |
+
"step": 200
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 0.37852676026523113,
|
| 214 |
+
"epoch": 0.31890660592255127,
|
| 215 |
+
"grad_norm": 0.703125,
|
| 216 |
+
"learning_rate": 8.17317856706482e-06,
|
| 217 |
+
"loss": 0.37905910015106203,
|
| 218 |
+
"mean_token_accuracy": 0.877592646330595,
|
| 219 |
+
"num_tokens": 11677885.0,
|
| 220 |
+
"step": 210
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 0.376834512129426,
|
| 224 |
+
"epoch": 0.3340926347760061,
|
| 225 |
+
"grad_norm": 0.66015625,
|
| 226 |
+
"learning_rate": 7.975346457114034e-06,
|
| 227 |
+
"loss": 0.3753563404083252,
|
| 228 |
+
"mean_token_accuracy": 0.8776590585708618,
|
| 229 |
+
"num_tokens": 12235216.0,
|
| 230 |
+
"step": 220
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 0.3737819105386734,
|
| 234 |
+
"epoch": 0.3492786636294609,
|
| 235 |
+
"grad_norm": 0.671875,
|
| 236 |
+
"learning_rate": 7.770022352299294e-06,
|
| 237 |
+
"loss": 0.37358593940734863,
|
| 238 |
+
"mean_token_accuracy": 0.878921328485012,
|
| 239 |
+
"num_tokens": 12787759.0,
|
| 240 |
+
"step": 230
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 0.3769740372896194,
|
| 244 |
+
"epoch": 0.36446469248291574,
|
| 245 |
+
"grad_norm": 0.73046875,
|
| 246 |
+
"learning_rate": 7.557723263718596e-06,
|
| 247 |
+
"loss": 0.37995898723602295,
|
| 248 |
+
"mean_token_accuracy": 0.8769361607730388,
|
| 249 |
+
"num_tokens": 13346471.0,
|
| 250 |
+
"step": 240
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 0.3878506176173687,
|
| 254 |
+
"epoch": 0.37965072133637057,
|
| 255 |
+
"grad_norm": 0.70703125,
|
| 256 |
+
"learning_rate": 7.338983765648985e-06,
|
| 257 |
+
"loss": 0.38782215118408203,
|
| 258 |
+
"mean_token_accuracy": 0.8749015353620052,
|
| 259 |
+
"num_tokens": 13895194.0,
|
| 260 |
+
"step": 250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 0.37555828876793385,
|
| 264 |
+
"epoch": 0.39483675018982534,
|
| 265 |
+
"grad_norm": 0.6875,
|
| 266 |
+
"learning_rate": 7.114354649475499e-06,
|
| 267 |
+
"loss": 0.3771331787109375,
|
| 268 |
+
"mean_token_accuracy": 0.878202386945486,
|
| 269 |
+
"num_tokens": 14453542.0,
|
| 270 |
+
"step": 260
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 0.37179951313883064,
|
| 274 |
+
"epoch": 0.41002277904328016,
|
| 275 |
+
"grad_norm": 0.6484375,
|
| 276 |
+
"learning_rate": 6.884401536785045e-06,
|
| 277 |
+
"loss": 0.37206058502197265,
|
| 278 |
+
"mean_token_accuracy": 0.8789021499454975,
|
| 279 |
+
"num_tokens": 15016280.0,
|
| 280 |
+
"step": 270
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 0.3706459369510412,
|
| 284 |
+
"epoch": 0.425208807896735,
|
| 285 |
+
"grad_norm": 0.7109375,
|
| 286 |
+
"learning_rate": 6.6497034551174585e-06,
|
| 287 |
+
"loss": 0.37101426124572756,
|
| 288 |
+
"mean_token_accuracy": 0.8798882246017456,
|
| 289 |
+
"num_tokens": 15561057.0,
|
| 290 |
+
"step": 280
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 0.37728526555001735,
|
| 294 |
+
"epoch": 0.4403948367501898,
|
| 295 |
+
"grad_norm": 0.65625,
|
| 296 |
+
"learning_rate": 6.41085137996006e-06,
|
| 297 |
+
"loss": 0.37785754203796384,
|
| 298 |
+
"mean_token_accuracy": 0.8779311388731003,
|
| 299 |
+
"num_tokens": 16127699.0,
|
| 300 |
+
"step": 290
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 0.3816283464431763,
|
| 304 |
+
"epoch": 0.45558086560364464,
|
| 305 |
+
"grad_norm": 0.81640625,
|
| 306 |
+
"learning_rate": 6.168446746656973e-06,
|
| 307 |
+
"loss": 0.3794879674911499,
|
| 308 |
+
"mean_token_accuracy": 0.8773063771426678,
|
| 309 |
+
"num_tokens": 16686457.0,
|
| 310 |
+
"step": 300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 0.37517447732388975,
|
| 314 |
+
"epoch": 0.47076689445709946,
|
| 315 |
+
"grad_norm": 0.70703125,
|
| 316 |
+
"learning_rate": 5.923099935980278e-06,
|
| 317 |
+
"loss": 0.3782352924346924,
|
| 318 |
+
"mean_token_accuracy": 0.8787827685475349,
|
| 319 |
+
"num_tokens": 17254272.0,
|
| 320 |
+
"step": 310
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 0.374018133059144,
|
| 324 |
+
"epoch": 0.4859529233105543,
|
| 325 |
+
"grad_norm": 0.71484375,
|
| 326 |
+
"learning_rate": 5.675428737176367e-06,
|
| 327 |
+
"loss": 0.37341156005859377,
|
| 328 |
+
"mean_token_accuracy": 0.8788688823580741,
|
| 329 |
+
"num_tokens": 17809900.0,
|
| 330 |
+
"step": 320
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 0.3753270395100117,
|
| 334 |
+
"epoch": 0.5011389521640092,
|
| 335 |
+
"grad_norm": 0.68359375,
|
| 336 |
+
"learning_rate": 5.426056792357552e-06,
|
| 337 |
+
"loss": 0.3752497673034668,
|
| 338 |
+
"mean_token_accuracy": 0.8784179173409938,
|
| 339 |
+
"num_tokens": 18379566.0,
|
| 340 |
+
"step": 330
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 0.3742110010236502,
|
| 344 |
+
"epoch": 0.5163249810174639,
|
| 345 |
+
"grad_norm": 0.6875,
|
| 346 |
+
"learning_rate": 5.175612026156045e-06,
|
| 347 |
+
"loss": 0.3746063232421875,
|
| 348 |
+
"mean_token_accuracy": 0.8782069273293018,
|
| 349 |
+
"num_tokens": 18943281.0,
|
| 350 |
+
"step": 340
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 0.37444472052156924,
|
| 354 |
+
"epoch": 0.5315110098709187,
|
| 355 |
+
"grad_norm": 0.71484375,
|
| 356 |
+
"learning_rate": 4.924725064594448e-06,
|
| 357 |
+
"loss": 0.3729024171829224,
|
| 358 |
+
"mean_token_accuracy": 0.8787923693656922,
|
| 359 |
+
"num_tokens": 19488865.0,
|
| 360 |
+
"step": 350
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 0.3750518877059221,
|
| 364 |
+
"epoch": 0.5466970387243736,
|
| 365 |
+
"grad_norm": 0.78515625,
|
| 366 |
+
"learning_rate": 4.674027647154037e-06,
|
| 367 |
+
"loss": 0.3758077621459961,
|
| 368 |
+
"mean_token_accuracy": 0.8765743866562843,
|
| 369 |
+
"num_tokens": 20048281.0,
|
| 370 |
+
"step": 360
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 0.3787516813725233,
|
| 374 |
+
"epoch": 0.5618830675778284,
|
| 375 |
+
"grad_norm": 0.74609375,
|
| 376 |
+
"learning_rate": 4.424151036039381e-06,
|
| 377 |
+
"loss": 0.3790909767150879,
|
| 378 |
+
"mean_token_accuracy": 0.8769759923219681,
|
| 379 |
+
"num_tokens": 20597434.0,
|
| 380 |
+
"step": 370
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 0.3786877432838082,
|
| 384 |
+
"epoch": 0.5770690964312832,
|
| 385 |
+
"grad_norm": 0.68359375,
|
| 386 |
+
"learning_rate": 4.175724426644724e-06,
|
| 387 |
+
"loss": 0.3812232971191406,
|
| 388 |
+
"mean_token_accuracy": 0.8777030549943448,
|
| 389 |
+
"num_tokens": 21161267.0,
|
| 390 |
+
"step": 380
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 0.37311795353889465,
|
| 394 |
+
"epoch": 0.592255125284738,
|
| 395 |
+
"grad_norm": 0.6796875,
|
| 396 |
+
"learning_rate": 3.929373363224654e-06,
|
| 397 |
+
"loss": 0.3731100559234619,
|
| 398 |
+
"mean_token_accuracy": 0.8793233536183834,
|
| 399 |
+
"num_tokens": 21709421.0,
|
| 400 |
+
"step": 390
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 0.3734915753826499,
|
| 404 |
+
"epoch": 0.6074411541381929,
|
| 405 |
+
"grad_norm": 0.6875,
|
| 406 |
+
"learning_rate": 3.685718163758427e-06,
|
| 407 |
+
"loss": 0.37124335765838623,
|
| 408 |
+
"mean_token_accuracy": 0.8786324210464954,
|
| 409 |
+
"num_tokens": 22250023.0,
|
| 410 |
+
"step": 400
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 0.3722789943218231,
|
| 414 |
+
"epoch": 0.6226271829916477,
|
| 415 |
+
"grad_norm": 0.67578125,
|
| 416 |
+
"learning_rate": 3.445372357974194e-06,
|
| 417 |
+
"loss": 0.37429609298706057,
|
| 418 |
+
"mean_token_accuracy": 0.8784996062517166,
|
| 419 |
+
"num_tokens": 22802881.0,
|
| 420 |
+
"step": 410
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 0.3826644644141197,
|
| 424 |
+
"epoch": 0.6378132118451025,
|
| 425 |
+
"grad_norm": 0.65625,
|
| 426 |
+
"learning_rate": 3.2089411424661864e-06,
|
| 427 |
+
"loss": 0.3828511953353882,
|
| 428 |
+
"mean_token_accuracy": 0.875868634134531,
|
| 429 |
+
"num_tokens": 23368508.0,
|
| 430 |
+
"step": 420
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 0.36304581388831136,
|
| 434 |
+
"epoch": 0.6529992406985573,
|
| 435 |
+
"grad_norm": 0.703125,
|
| 436 |
+
"learning_rate": 2.977019856794955e-06,
|
| 437 |
+
"loss": 0.362534499168396,
|
| 438 |
+
"mean_token_accuracy": 0.8821237675845623,
|
| 439 |
+
"num_tokens": 23923709.0,
|
| 440 |
+
"step": 430
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"entropy": 0.38759873658418653,
|
| 444 |
+
"epoch": 0.6681852695520122,
|
| 445 |
+
"grad_norm": 0.67578125,
|
| 446 |
+
"learning_rate": 2.7501924844078538e-06,
|
| 447 |
+
"loss": 0.38718571662902834,
|
| 448 |
+
"mean_token_accuracy": 0.8746685221791267,
|
| 449 |
+
"num_tokens": 24477925.0,
|
| 450 |
+
"step": 440
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"entropy": 0.3708066754043102,
|
| 454 |
+
"epoch": 0.683371298405467,
|
| 455 |
+
"grad_norm": 0.6875,
|
| 456 |
+
"learning_rate": 2.5290301821544826e-06,
|
| 457 |
+
"loss": 0.36970815658569334,
|
| 458 |
+
"mean_token_accuracy": 0.8802599847316742,
|
| 459 |
+
"num_tokens": 25027245.0,
|
| 460 |
+
"step": 450
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"entropy": 0.36688214987516404,
|
| 464 |
+
"epoch": 0.6985573272589218,
|
| 465 |
+
"grad_norm": 0.68359375,
|
| 466 |
+
"learning_rate": 2.3140898420998425e-06,
|
| 467 |
+
"loss": 0.3657586097717285,
|
| 468 |
+
"mean_token_accuracy": 0.8809232294559479,
|
| 469 |
+
"num_tokens": 25582534.0,
|
| 470 |
+
"step": 460
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"entropy": 0.36983687337487936,
|
| 474 |
+
"epoch": 0.7137433561123766,
|
| 475 |
+
"grad_norm": 0.7109375,
|
| 476 |
+
"learning_rate": 2.105912689256533e-06,
|
| 477 |
+
"loss": 0.37239837646484375,
|
| 478 |
+
"mean_token_accuracy": 0.8794391065835953,
|
| 479 |
+
"num_tokens": 26134875.0,
|
| 480 |
+
"step": 470
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"entropy": 0.3732773784548044,
|
| 484 |
+
"epoch": 0.7289293849658315,
|
| 485 |
+
"grad_norm": 0.63671875,
|
| 486 |
+
"learning_rate": 1.905022918766995e-06,
|
| 487 |
+
"loss": 0.37306258678436277,
|
| 488 |
+
"mean_token_accuracy": 0.8793606124818325,
|
| 489 |
+
"num_tokens": 26681084.0,
|
| 490 |
+
"step": 480
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"entropy": 0.3710829207673669,
|
| 494 |
+
"epoch": 0.7441154138192863,
|
| 495 |
+
"grad_norm": 0.69921875,
|
| 496 |
+
"learning_rate": 1.7119263759673677e-06,
|
| 497 |
+
"loss": 0.3711911678314209,
|
| 498 |
+
"mean_token_accuracy": 0.8803343921899796,
|
| 499 |
+
"num_tokens": 27234332.0,
|
| 500 |
+
"step": 490
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"entropy": 0.3832434043288231,
|
| 504 |
+
"epoch": 0.7593014426727411,
|
| 505 |
+
"grad_norm": 0.9921875,
|
| 506 |
+
"learning_rate": 1.5271092826566108e-06,
|
| 507 |
+
"loss": 0.3841698169708252,
|
| 508 |
+
"mean_token_accuracy": 0.8759766638278961,
|
| 509 |
+
"num_tokens": 27794602.0,
|
| 510 |
+
"step": 500
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"entropy": 0.38211295008659363,
|
| 514 |
+
"epoch": 0.7744874715261959,
|
| 515 |
+
"grad_norm": 0.8046875,
|
| 516 |
+
"learning_rate": 1.3510370127781635e-06,
|
| 517 |
+
"loss": 0.3804590940475464,
|
| 518 |
+
"mean_token_accuracy": 0.8769169762730599,
|
| 519 |
+
"num_tokens": 28354831.0,
|
| 520 |
+
"step": 510
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"entropy": 0.3752284612506628,
|
| 524 |
+
"epoch": 0.7896735003796507,
|
| 525 |
+
"grad_norm": 0.73046875,
|
| 526 |
+
"learning_rate": 1.1841529205970281e-06,
|
| 527 |
+
"loss": 0.37546916007995607,
|
| 528 |
+
"mean_token_accuracy": 0.8786770381033421,
|
| 529 |
+
"num_tokens": 28922852.0,
|
| 530 |
+
"step": 520
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"entropy": 0.36873019095510245,
|
| 534 |
+
"epoch": 0.8048595292331056,
|
| 535 |
+
"grad_norm": 0.6640625,
|
| 536 |
+
"learning_rate": 1.026877224322923e-06,
|
| 537 |
+
"loss": 0.36797375679016114,
|
| 538 |
+
"mean_token_accuracy": 0.880731363594532,
|
| 539 |
+
"num_tokens": 29493442.0,
|
| 540 |
+
"step": 530
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"entropy": 0.3788988694548607,
|
| 544 |
+
"epoch": 0.8200455580865603,
|
| 545 |
+
"grad_norm": 0.69921875,
|
| 546 |
+
"learning_rate": 8.7960594799059e-07,
|
| 547 |
+
"loss": 0.37884984016418455,
|
| 548 |
+
"mean_token_accuracy": 0.8770281121134758,
|
| 549 |
+
"num_tokens": 30034443.0,
|
| 550 |
+
"step": 540
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"entropy": 0.3814096964895725,
|
| 554 |
+
"epoch": 0.8352315869400152,
|
| 555 |
+
"grad_norm": 0.73046875,
|
| 556 |
+
"learning_rate": 7.427099242616348e-07,
|
| 557 |
+
"loss": 0.3821078300476074,
|
| 558 |
+
"mean_token_accuracy": 0.8763406798243523,
|
| 559 |
+
"num_tokens": 30570567.0,
|
| 560 |
+
"step": 550
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"entropy": 0.3758743409067392,
|
| 564 |
+
"epoch": 0.85041761579347,
|
| 565 |
+
"grad_norm": 0.6953125,
|
| 566 |
+
"learning_rate": 6.165338606588517e-07,
|
| 567 |
+
"loss": 0.3744307279586792,
|
| 568 |
+
"mean_token_accuracy": 0.8794760994613171,
|
| 569 |
+
"num_tokens": 31129457.0,
|
| 570 |
+
"step": 560
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"entropy": 0.37431446108967065,
|
| 574 |
+
"epoch": 0.8656036446469249,
|
| 575 |
+
"grad_norm": 0.6640625,
|
| 576 |
+
"learning_rate": 5.0139547158427e-07,
|
| 577 |
+
"loss": 0.37335963249206544,
|
| 578 |
+
"mean_token_accuracy": 0.8793582506477833,
|
| 579 |
+
"num_tokens": 31689902.0,
|
| 580 |
+
"step": 570
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"entropy": 0.38372623883187773,
|
| 584 |
+
"epoch": 0.8807896735003796,
|
| 585 |
+
"grad_norm": 0.7578125,
|
| 586 |
+
"learning_rate": 3.9758467830656623e-07,
|
| 587 |
+
"loss": 0.38321547508239745,
|
| 588 |
+
"mean_token_accuracy": 0.8755873307585716,
|
| 589 |
+
"num_tokens": 32253359.0,
|
| 590 |
+
"step": 580
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"entropy": 0.36962624490261076,
|
| 594 |
+
"epoch": 0.8959757023538345,
|
| 595 |
+
"grad_norm": 0.72265625,
|
| 596 |
+
"learning_rate": 3.0536287893223603e-07,
|
| 597 |
+
"loss": 0.37100839614868164,
|
| 598 |
+
"mean_token_accuracy": 0.8799250744283199,
|
| 599 |
+
"num_tokens": 32813428.0,
|
| 600 |
+
"step": 590
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"entropy": 0.3853254303336143,
|
| 604 |
+
"epoch": 0.9111617312072893,
|
| 605 |
+
"grad_norm": 0.6640625,
|
| 606 |
+
"learning_rate": 2.2496229019879635e-07,
|
| 607 |
+
"loss": 0.3848439693450928,
|
| 608 |
+
"mean_token_accuracy": 0.8762004837393761,
|
| 609 |
+
"num_tokens": 33382024.0,
|
| 610 |
+
"step": 600
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"entropy": 0.3742272950708866,
|
| 614 |
+
"epoch": 0.9263477600607442,
|
| 615 |
+
"grad_norm": 0.671875,
|
| 616 |
+
"learning_rate": 1.5658536274738623e-07,
|
| 617 |
+
"loss": 0.3725078582763672,
|
| 618 |
+
"mean_token_accuracy": 0.8787065915763378,
|
| 619 |
+
"num_tokens": 33939521.0,
|
| 620 |
+
"step": 610
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"entropy": 0.3774934906512499,
|
| 624 |
+
"epoch": 0.9415337889141989,
|
| 625 |
+
"grad_norm": 0.69140625,
|
| 626 |
+
"learning_rate": 1.004042713471165e-07,
|
| 627 |
+
"loss": 0.37858588695526124,
|
| 628 |
+
"mean_token_accuracy": 0.877676124125719,
|
| 629 |
+
"num_tokens": 34482539.0,
|
| 630 |
+
"step": 620
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"entropy": 0.37360552567988636,
|
| 634 |
+
"epoch": 0.9567198177676538,
|
| 635 |
+
"grad_norm": 0.734375,
|
| 636 |
+
"learning_rate": 5.6560481354807625e-08,
|
| 637 |
+
"loss": 0.37269864082336424,
|
| 638 |
+
"mean_token_accuracy": 0.8786865592002868,
|
| 639 |
+
"num_tokens": 35045028.0,
|
| 640 |
+
"step": 630
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"entropy": 0.3767994062975049,
|
| 644 |
+
"epoch": 0.9719058466211086,
|
| 645 |
+
"grad_norm": 0.890625,
|
| 646 |
+
"learning_rate": 2.516439250177749e-08,
|
| 647 |
+
"loss": 0.3758098125457764,
|
| 648 |
+
"mean_token_accuracy": 0.8778494797647,
|
| 649 |
+
"num_tokens": 35600399.0,
|
| 650 |
+
"step": 640
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"entropy": 0.3786265593022108,
|
| 654 |
+
"epoch": 0.9870918754745635,
|
| 655 |
+
"grad_norm": 0.6875,
|
| 656 |
+
"learning_rate": 6.295060904623618e-09,
|
| 657 |
+
"loss": 0.378217077255249,
|
| 658 |
+
"mean_token_accuracy": 0.8778206452727317,
|
| 659 |
+
"num_tokens": 36162293.0,
|
| 660 |
+
"step": 650
|
| 661 |
+
}
|
| 662 |
+
],
|
| 663 |
+
"logging_steps": 10,
|
| 664 |
+
"max_steps": 659,
|
| 665 |
+
"num_input_tokens_seen": 0,
|
| 666 |
+
"num_train_epochs": 1,
|
| 667 |
+
"save_steps": 500,
|
| 668 |
+
"stateful_callbacks": {
|
| 669 |
+
"TrainerControl": {
|
| 670 |
+
"args": {
|
| 671 |
+
"should_epoch_stop": false,
|
| 672 |
+
"should_evaluate": false,
|
| 673 |
+
"should_log": false,
|
| 674 |
+
"should_save": true,
|
| 675 |
+
"should_training_stop": true
|
| 676 |
+
},
|
| 677 |
+
"attributes": {}
|
| 678 |
+
}
|
| 679 |
+
},
|
| 680 |
+
"total_flos": 9.858614662906511e+17,
|
| 681 |
+
"train_batch_size": 2,
|
| 682 |
+
"trial_name": null,
|
| 683 |
+
"trial_params": null
|
| 684 |
+
}
|
checkpoint-659/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:514f32c7b13687591d405f4e860f5e4d9145eaaff00bbbfd04aded17ecc9774d
|
| 3 |
+
size 5777
|
config.json
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": null,
|
| 8 |
+
"dtype": "bfloat16",
|
| 9 |
+
"eos_token_id": 151645,
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 2560,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 9728,
|
| 15 |
+
"layer_types": [
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention"
|
| 52 |
+
],
|
| 53 |
+
"max_position_embeddings": 32768,
|
| 54 |
+
"max_window_layers": 36,
|
| 55 |
+
"model_type": "qwen3",
|
| 56 |
+
"num_attention_heads": 32,
|
| 57 |
+
"num_hidden_layers": 36,
|
| 58 |
+
"num_key_value_heads": 8,
|
| 59 |
+
"pad_token_id": 151643,
|
| 60 |
+
"rms_norm_eps": 1e-06,
|
| 61 |
+
"rope_parameters": {
|
| 62 |
+
"rope_theta": 1000000,
|
| 63 |
+
"rope_type": "default"
|
| 64 |
+
},
|
| 65 |
+
"sliding_window": null,
|
| 66 |
+
"tie_word_embeddings": true,
|
| 67 |
+
"transformers_version": "5.8.0",
|
| 68 |
+
"use_cache": false,
|
| 69 |
+
"use_sliding_window": false,
|
| 70 |
+
"vocab_size": 151936
|
| 71 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_sample": false,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645,
|
| 5 |
+
151643
|
| 6 |
+
],
|
| 7 |
+
"max_new_tokens": 2048,
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"transformers_version": "5.8.0"
|
| 10 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7e18e9f555d63e04b2a5d67a10939ba633cf584772c20342c840bc3158f275c
|
| 3 |
+
size 8044982080
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
|
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": "<|im_start|>",
|
| 10 |
+
"im_end": "<|im_end|>",
|
| 11 |
+
"object_ref_start": "<|object_ref_start|>",
|
| 12 |
+
"object_ref_end": "<|object_ref_end|>",
|
| 13 |
+
"box_start": "<|box_start|>",
|
| 14 |
+
"box_end": "<|box_end|>",
|
| 15 |
+
"quad_start": "<|quad_start|>",
|
| 16 |
+
"quad_end": "<|quad_end|>",
|
| 17 |
+
"vision_start": "<|vision_start|>",
|
| 18 |
+
"vision_end": "<|vision_end|>",
|
| 19 |
+
"vision_pad": "<|vision_pad|>",
|
| 20 |
+
"image_pad": "<|image_pad|>",
|
| 21 |
+
"video_pad": "<|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 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:514f32c7b13687591d405f4e860f5e4d9145eaaff00bbbfd04aded17ecc9774d
|
| 3 |
+
size 5777
|