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--- |
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license: mit |
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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: claim-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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# claim-classifier |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3432 |
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- Accuracy: 0.8889 |
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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: 5e-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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.048 | 1.0 | 562 | 0.3966 | 0.8669 | |
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| 0.3896 | 2.0 | 1124 | 0.4440 | 0.8669 | |
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| 0.4783 | 3.0 | 1686 | 0.3893 | 0.8699 | |
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| 0.4792 | 4.0 | 2248 | 0.4019 | 0.8689 | |
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| 1.2405 | 5.0 | 2810 | 0.3883 | 0.8729 | |
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| 0.0996 | 6.0 | 3372 | 0.3673 | 0.8669 | |
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| 0.4833 | 7.0 | 3934 | 0.3873 | 0.8759 | |
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| 0.2461 | 8.0 | 4496 | 0.3646 | 0.8659 | |
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| 0.0977 | 9.0 | 5058 | 0.3432 | 0.8889 | |
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| 0.0682 | 10.0 | 5620 | 0.3458 | 0.8919 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.8.1 |
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- Datasets 2.13.2 |
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- Tokenizers 0.13.3 |
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