fine-tuned-roberta-large-swag
This model is a fine-tuned version of FacebookAI/roberta-large on the swag dataset. It achieves the following results on the evaluation set:
- Loss: 0.5723
- Accuracy: 0.8876
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: 1.5e-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 |
|---|---|---|---|---|
| 0.6007 | 1.0 | 4597 | 0.3438 | 0.8695 |
| 0.3897 | 2.0 | 9194 | 0.3190 | 0.8824 |
| 0.2257 | 3.0 | 13791 | 0.3866 | 0.8862 |
| 0.1238 | 4.0 | 18388 | 0.5723 | 0.8876 |
Framework versions
- Transformers 4.41.2
- Pytorch 1.11.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for amritpuhan/fine-tuned-roberta-large-swag
Base model
FacebookAI/roberta-large