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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/Qwen2-1.5B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: fine_tuned_all_domains |
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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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# fine_tuned_all_domains |
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This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1512 |
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- Accuracy: 0.9386 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.5166 | 0.0111 | 100 | 0.2467 | 0.8979 | |
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| 0.2611 | 0.0223 | 200 | 0.2322 | 0.9157 | |
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| 0.2354 | 0.0334 | 300 | 0.1831 | 0.9220 | |
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| 0.1962 | 0.0446 | 400 | 0.2122 | 0.9222 | |
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| 0.1877 | 0.0557 | 500 | 0.3002 | 0.8910 | |
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| 0.1907 | 0.0669 | 600 | 0.1490 | 0.9431 | |
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| 0.1567 | 0.0780 | 700 | 0.1964 | 0.9239 | |
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| 0.1878 | 0.0891 | 800 | 0.1819 | 0.9274 | |
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| 0.1788 | 0.1003 | 900 | 0.1512 | 0.9386 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu126 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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