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distilroberta-base-finetuned-squad2-lwt
This model is a fine-tuned version of distilroberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1356
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1702 | 1.0 | 4120 | 1.1220 |
| 0.9787 | 2.0 | 8240 | 1.0500 |
| 0.8153 | 3.0 | 12360 | 1.1356 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
{'HasAns_exact': 71.39001349527665, 'HasAns_f1': 77.71740687727831, 'HasAns_total': 5928, 'NoAns_exact': 68.59545836837678, 'NoAns_f1': 68.59545836837678, 'NoAns_total': 5945, 'best_exact': 69.9991577528847, 'best_exact_thresh': 0.0, 'best_f1': 73.1583245993857, 'best_f1_thresh': 0.0, 'exact': 69.99073528173166, 'f1': 73.1499021282327, 'total': 11873}
