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--- |
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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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- squad_v2 |
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model-index: |
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- name: roberta-base-finetuned-squad2-lwt |
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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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## Model description |
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#### Finetuned on SQUAD2.0 Dataset |
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#### F1: 83.738696142672 |
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Trained on single V100 GPU |
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Everyone is welcome to use~ |
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Hope you have a nice day |
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## Performance |
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- HasAns_exact': 77.1255060728745, 'HasAns_f1': 83.87812741260885, 'HasAns_total': 5928, |
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- 'NoAns_exact': 83.59966358284272, 'NoAns_f1': 83.59966358284272, 'NoAns_total': 5945, |
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- 'best_exact': 80.36721974227238, 'best_exact_thresh': 0.0, |
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- 'best_f1': 83.7386961426719, 'best_f1_thresh': 0.0, |
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- 'exact': 80.36721974227238, |
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- 'f1': 83.738696142672, |
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- 'total': 11873 |
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# roberta-base-finetuned-squad2-lwt |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the squad_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9441 |
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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: 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: 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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| 0.871 | 1.0 | 8239 | 0.8156 | |
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| 0.6787 | 2.0 | 16478 | 0.8494 | |
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| 0.4867 | 3.0 | 24717 | 0.9441 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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