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--- |
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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: results |
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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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# results |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7225 |
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- Accuracy: 0.6416 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 3.6926 | 0.5587 | 100 | 2.4932 | 0.5508 | |
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| 3.4971 | 1.1173 | 200 | 2.1649 | 0.5738 | |
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| 2.7013 | 1.6760 | 300 | 2.1019 | 0.5801 | |
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| 2.0768 | 2.2346 | 400 | 2.4828 | 0.6241 | |
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| 1.4108 | 2.7933 | 500 | 2.3521 | 0.6471 | |
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| 1.0545 | 3.3520 | 600 | 2.5568 | 0.6115 | |
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| 0.707 | 3.9106 | 700 | 2.5198 | 0.6304 | |
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| 0.4998 | 4.4693 | 800 | 2.8322 | 0.6314 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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