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--- |
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license: apache-2.0 |
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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: distilroberta-base-finetuned-squad2-lwt |
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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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# distilroberta-base-finetuned-squad2-lwt |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the squad_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1356 |
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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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| 1.1702 | 1.0 | 4120 | 1.1220 | |
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| 0.9787 | 2.0 | 8240 | 1.0500 | |
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| 0.8153 | 3.0 | 12360 | 1.1356 | |
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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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{'HasAns_exact': 71.39001349527665, |
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'HasAns_f1': 77.71740687727831, |
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'HasAns_total': 5928, |
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'NoAns_exact': 68.59545836837678, |
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'NoAns_f1': 68.59545836837678, |
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'NoAns_total': 5945, |
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'best_exact': 69.9991577528847, |
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'best_exact_thresh': 0.0, |
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'best_f1': 73.1583245993857, |
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'best_f1_thresh': 0.0, |
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'exact': 69.99073528173166, |
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'f1': 73.1499021282327, |
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'total': 11873} |
