roberta-base-fp-sick
This model is a fine-tuned version of roberta-base on the sick dataset. It achieves the following results on the evaluation set:
- Loss: 0.3257
- Accuracy: 0.8788
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: 64
- eval_batch_size: 32
- seed: 59
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 70 | 0.3581 | 0.8768 |
| No log | 2.0 | 140 | 0.3995 | 0.8465 |
| No log | 3.0 | 210 | 0.3257 | 0.8788 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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