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--- |
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library_name: transformers |
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license: other |
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base_model: Qwen/Qwen2.5-7B-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: gaia_5k_v3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gaia_5k_v3 |
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the gaia_5k_v3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3049 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 4 |
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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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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4228 | 0.1099 | 100 | 0.3957 | |
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| 0.527 | 0.2198 | 200 | 0.3460 | |
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| 0.3876 | 0.3297 | 300 | 0.3336 | |
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| 0.3415 | 0.4396 | 400 | 0.3235 | |
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| 0.2844 | 0.5495 | 500 | 0.3123 | |
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| 0.3646 | 0.6593 | 600 | 0.3096 | |
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| 0.2695 | 0.7692 | 700 | 0.3131 | |
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| 0.3871 | 0.8791 | 800 | 0.3072 | |
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| 0.4209 | 0.9890 | 900 | 0.3054 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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