初始化项目，由ModelHub XC社区提供模型
Model: zhangchenxu/TinyV-1.5B Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: Qwen2.5-1.5B-Instruct-SFT-BigmathV_Simple_Balanced-LR1.0e-5-EPOCHS2
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results: []
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---
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[**TinyV**]((https://arxiv.org/abs/2505.14625)) is a reward system for efficient RL post-training that detects false negatives in current rule-based verifiers and provides more accurate reward signals via a small LLM during RL training. Experiments show that TinyV incurs only 6% additional computational cost while significantly increasing both RL efficiency and final model performance.
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- 📄 [Technical Report](https://arxiv.org/abs/2505.14625) - Including false negative analysis and theotical insights behind TinyV
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- 💾 [Github Repo](https://github.com/uw-nsl/TinyV) - Access the complete pipeline for more efficient RL training via TinyV
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- 🤗 [HF Collection](https://huggingface.co/collections/zhangchenxu/tinyv-682d5840c7e309217df625df) - Training Data, Benchmarks, and Model Artifact
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This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on [zhangchenxu/TinyV_Training_Data_Balanced](https://huggingface.co/datasets/zhangchenxu/TinyV_Training_Data_Balanced) dataset.
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### Overview
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### How to use it?
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Please refer to the codebase: [https://github.com/uw-nsl/TinyV](https://github.com/uw-nsl/TinyV) for details.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 512
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- total_eval_batch_size: 64
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2.0
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.0
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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config.json
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
209
tokenizer_config.json
Normal file
209
tokenizer_config.json
Normal file
@@ -0,0 +1,209 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
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|
||||
"151649": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"content": "<|vision_pad|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151662": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151663": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151664": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"additional_special_tokens": [
|
||||
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|
||||
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|
||||
"<|object_ref_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
8
train_results.json
Normal file
8
train_results.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"epoch": 1.993968636911942,
|
||||
"total_flos": 7.073469349725471e+17,
|
||||
"train_loss": 0.04489339354387935,
|
||||
"train_runtime": 2537.7411,
|
||||
"train_samples_per_second": 125.415,
|
||||
"train_steps_per_second": 0.244
|
||||
}
|
||||
620
trainer_log.jsonl
Normal file
620
trainer_log.jsonl
Normal file
@@ -0,0 +1,620 @@
|
||||
{"current_steps": 1, "total_steps": 620, "loss": 0.3558, "lr": 1.6129032258064518e-07, "epoch": 0.003216726980297547, "percentage": 0.16, "elapsed_time": "0:00:07", "remaining_time": "1:14:53"}
|
||||
{"current_steps": 2, "total_steps": 620, "loss": 0.4071, "lr": 3.2258064516129035e-07, "epoch": 0.006433453960595094, "percentage": 0.32, "elapsed_time": "0:00:12", "remaining_time": "1:06:47"}
|
||||
{"current_steps": 3, "total_steps": 620, "loss": 0.3576, "lr": 4.838709677419355e-07, "epoch": 0.009650180940892641, "percentage": 0.48, "elapsed_time": "0:00:18", "remaining_time": "1:02:48"}
|
||||
{"current_steps": 4, "total_steps": 620, "loss": 0.3627, "lr": 6.451612903225807e-07, "epoch": 0.012866907921190189, "percentage": 0.65, "elapsed_time": "0:00:22", "remaining_time": "0:58:27"}
|
||||
{"current_steps": 5, "total_steps": 620, "loss": 0.3581, "lr": 8.064516129032258e-07, "epoch": 0.016083634901487735, "percentage": 0.81, "elapsed_time": "0:00:26", "remaining_time": "0:55:00"}
|
||||
{"current_steps": 6, "total_steps": 620, "loss": 0.3392, "lr": 9.67741935483871e-07, "epoch": 0.019300361881785282, "percentage": 0.97, "elapsed_time": "0:00:30", "remaining_time": "0:52:50"}
|
||||
{"current_steps": 7, "total_steps": 620, "loss": 0.2786, "lr": 1.1290322580645162e-06, "epoch": 0.02251708886208283, "percentage": 1.13, "elapsed_time": "0:00:33", "remaining_time": "0:49:29"}
|
||||
{"current_steps": 8, "total_steps": 620, "loss": 0.27, "lr": 1.2903225806451614e-06, "epoch": 0.025733815842380377, "percentage": 1.29, "elapsed_time": "0:00:37", "remaining_time": "0:47:26"}
|
||||
{"current_steps": 9, "total_steps": 620, "loss": 0.1758, "lr": 1.4516129032258066e-06, "epoch": 0.028950542822677925, "percentage": 1.45, "elapsed_time": "0:00:41", "remaining_time": "0:46:35"}
|
||||
{"current_steps": 10, "total_steps": 620, "loss": 0.1723, "lr": 1.6129032258064516e-06, "epoch": 0.03216726980297547, "percentage": 1.61, "elapsed_time": "0:00:44", "remaining_time": "0:45:22"}
|
||||
{"current_steps": 11, "total_steps": 620, "loss": 0.1565, "lr": 1.774193548387097e-06, "epoch": 0.03538399678327302, "percentage": 1.77, "elapsed_time": "0:00:48", "remaining_time": "0:44:23"}
|
||||
{"current_steps": 12, "total_steps": 620, "loss": 0.1746, "lr": 1.935483870967742e-06, "epoch": 0.038600723763570564, "percentage": 1.94, "elapsed_time": "0:00:51", "remaining_time": "0:43:30"}
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||||
{"current_steps": 617, "total_steps": 620, "loss": 0.0211, "lr": 7.131872014509711e-10, "epoch": 1.9843184559710494, "percentage": 99.52, "elapsed_time": "0:35:00", "remaining_time": "0:00:10"}
|
||||
{"current_steps": 618, "total_steps": 620, "loss": 0.0169, "lr": 3.1697627597970794e-10, "epoch": 1.987535182951347, "percentage": 99.68, "elapsed_time": "0:35:03", "remaining_time": "0:00:06"}
|
||||
{"current_steps": 619, "total_steps": 620, "loss": 0.0259, "lr": 7.924469696718451e-11, "epoch": 1.9907519099316446, "percentage": 99.84, "elapsed_time": "0:35:05", "remaining_time": "0:00:03"}
|
||||
{"current_steps": 620, "total_steps": 620, "loss": 0.0252, "lr": 0.0, "epoch": 1.993968636911942, "percentage": 100.0, "elapsed_time": "0:35:07", "remaining_time": "0:00:00"}
|
||||
4382
trainer_state.json
Normal file
4382
trainer_state.json
Normal file
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Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:fb7d91dcf655532f6f2c298dae7e1fe9be35a59328187ef31be219a20580a2c6
|
||||
size 5944
|
||||
BIN
training_loss.png
Normal file
BIN
training_loss.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 44 KiB |
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user