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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_roct |
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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_roct |
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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: 0.4360 |
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- Accuracy: 0.8990 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.9049 | 0.0309 | 100 | 0.3296 | 0.8785 | |
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| 0.4092 | 0.0617 | 200 | 0.3509 | 0.8788 | |
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| 0.3024 | 0.0926 | 300 | 0.5640 | 0.8795 | |
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| 0.6762 | 0.1235 | 400 | 0.4360 | 0.8990 | |
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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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