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--- |
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license: mit |
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base_model: FacebookAI/roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: baseroberta-finetuned_squadcovid |
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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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# baseroberta-finetuned_squadcovid |
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8426 |
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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: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6662 | 0.21 | 1000 | 1.0762 | |
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| 0.7148 | 0.42 | 2000 | 0.9627 | |
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| 0.6548 | 0.64 | 3000 | 0.8933 | |
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| 0.601 | 0.85 | 4000 | 0.8712 | |
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| 0.5623 | 1.06 | 5000 | 0.8938 | |
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| 0.4915 | 1.27 | 6000 | 0.8678 | |
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| 0.4772 | 1.49 | 7000 | 0.8568 | |
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| 0.4709 | 1.7 | 8000 | 0.8479 | |
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| 0.4616 | 1.91 | 9000 | 0.8426 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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