End of training
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README.md
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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: roberta-base-squad2-finetuned-DouRC_squad
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results: []
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# roberta-base-squad2-finetuned-DouRC_squad
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on
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## Model description
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.41.2
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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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metrics:
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- f1
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model-index:
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- name: roberta-base-squad2-finetuned-DouRC_squad
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results: []
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# roberta-base-squad2-finetuned-DouRC_squad
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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: 1.3122
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- Exact Match: 0.665
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- F1: 0.5188
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## Model description
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- num_epochs: 5
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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 | Exact Match | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
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| 1.0639 | 1.0 | 536 | 1.1383 | 0.69 | 0.5419 |
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| 0.8267 | 2.0 | 1072 | 1.1227 | 0.685 | 0.5475 |
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| 0.683 | 3.0 | 1608 | 1.1890 | 0.685 | 0.5436 |
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| 0.5774 | 4.0 | 2144 | 1.2262 | 0.695 | 0.5595 |
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| 0.4885 | 5.0 | 2680 | 1.3122 | 0.665 | 0.5188 |
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### Framework versions
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- Transformers 4.41.2
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