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--- |
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license: cc-by-4.0 |
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base_model: deepset/roberta-base-squad2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: my_awesome_health_qa_model_35 |
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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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# my_awesome_health_qa_model_35 |
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2238 |
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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: 1e-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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1137 | 1.0 | 684 | 0.9948 | |
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| 0.9401 | 2.0 | 1368 | 1.0000 | |
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| 0.7252 | 3.0 | 2052 | 1.0297 | |
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| 0.63 | 4.0 | 2736 | 1.0668 | |
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| 0.5714 | 5.0 | 3420 | 1.1511 | |
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| 0.481 | 6.0 | 4104 | 1.1907 | |
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| 0.4489 | 7.0 | 4788 | 1.2238 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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