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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: classifier |
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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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# classifier |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0197 |
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- Accuracy: 0.8095 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 6 |
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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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| No log | 1.0 | 374 | 1.2216 | 0.6905 | |
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| 1.6471 | 2.0 | 748 | 0.8738 | 0.7857 | |
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| 0.6591 | 3.0 | 1122 | 0.8361 | 0.7857 | |
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| 0.6591 | 4.0 | 1496 | 0.9271 | 0.7738 | |
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| 0.3013 | 5.0 | 1870 | 1.0054 | 0.7976 | |
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| 0.1565 | 6.0 | 2244 | 1.0197 | 0.8095 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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