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--- |
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license: mit |
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base_model: hung200504/bert-squadv2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-squad-covidqa-2 |
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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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# bert-squad-covidqa-2 |
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This model is a fine-tuned version of [hung200504/bert-squadv2](https://huggingface.co/hung200504/bert-squadv2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0012 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.0266 | 0.71 | 5 | 1.2542 | |
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| 0.3796 | 1.43 | 10 | 0.0068 | |
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| 0.0123 | 2.14 | 15 | 0.0018 | |
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| 0.0039 | 2.86 | 20 | 0.0012 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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