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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilroberta-base |
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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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# distilroberta-base |
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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: 0.2128 |
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- F1 Score: 0.9697 |
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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: 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.301 | 1.0 | 873 | 0.1875 | 0.9409 | |
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| 0.1426 | 2.0 | 1746 | 0.1306 | 0.9572 | |
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| 0.0833 | 3.0 | 2619 | 0.1042 | 0.9661 | |
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| 0.0671 | 4.0 | 3492 | 0.1528 | 0.9686 | |
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| 0.038 | 5.0 | 4365 | 0.1612 | 0.9684 | |
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| 0.0304 | 6.0 | 5238 | 0.1648 | 0.9707 | |
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| 0.017 | 7.0 | 6111 | 0.2173 | 0.9665 | |
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| 0.0101 | 8.0 | 6984 | 0.2048 | 0.9700 | |
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| 0.0083 | 9.0 | 7857 | 0.2138 | 0.9691 | |
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| 0.0066 | 10.0 | 8730 | 0.2128 | 0.9697 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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