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--- |
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library_name: transformers |
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license: mit |
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MyModel |
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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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# MyModel |
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This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2093 |
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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-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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- optimizer: Use OptimizerNames.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: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9491 | 0.2693 | 500 | 0.6303 | |
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| 0.6241 | 0.5385 | 1000 | 0.5958 | |
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| 0.5923 | 0.8078 | 1500 | 0.5590 | |
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| 0.5584 | 1.0770 | 2000 | 0.5180 | |
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| 0.5264 | 1.3463 | 2500 | 0.4764 | |
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| 0.5164 | 1.6155 | 3000 | 0.4459 | |
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| 0.5046 | 1.8848 | 3500 | 0.4069 | |
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| 0.3944 | 2.1540 | 4000 | 0.3134 | |
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| 0.3362 | 2.4233 | 4500 | 0.2675 | |
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| 0.32 | 2.6925 | 5000 | 0.2293 | |
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| 0.3115 | 2.9618 | 5500 | 0.2093 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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