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squad_a_only_train5_reredo
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3732
- Accuracy: 0.8296
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5928 | 1.0 | 1188 | 0.5863 | 0.6961 |
0.5828 | 2.0 | 2376 | 0.5264 | 0.7553 |
0.505 | 3.0 | 3564 | 0.4226 | 0.8001 |
0.4387 | 4.0 | 4752 | 0.3732 | 0.8296 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1