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update model card README.md
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README.md
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- quac_expanded
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model-index:
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- name: roberta-base-squad2-distilled-small-cuad
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results: []
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# roberta-base-squad2-distilled-small-cuad
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This model is a fine-tuned version of [deepset/roberta-base-squad2-distilled](https://huggingface.co/deepset/roberta-base-squad2-distilled) on the
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 282 | 2.
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### Framework versions
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license: mit
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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-distilled-small-cuad
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results: []
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# roberta-base-squad2-distilled-small-cuad
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This model is a fine-tuned version of [deepset/roberta-base-squad2-distilled](https://huggingface.co/deepset/roberta-base-squad2-distilled) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9965
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## Model description
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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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| No log | 1.0 | 282 | 2.9007 |
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| 3.0578 | 2.0 | 564 | 2.9068 |
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| 3.0578 | 3.0 | 846 | 2.9965 |
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### Framework versions
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