recipe-roberta-is
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8382
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.334 | 1.0 | 961 | 1.1217 |
| 1.1638 | 2.0 | 1922 | 1.0369 |
| 1.0936 | 3.0 | 2883 | 0.9922 |
| 1.0503 | 4.0 | 3844 | 0.9606 |
| 1.0188 | 5.0 | 4805 | 0.9314 |
| 0.9953 | 6.0 | 5766 | 0.9256 |
| 0.9769 | 7.0 | 6727 | 0.9109 |
| 0.9599 | 8.0 | 7688 | 0.8978 |
| 0.9461 | 9.0 | 8649 | 0.8813 |
| 0.9377 | 10.0 | 9610 | 0.8777 |
| 0.9253 | 11.0 | 10571 | 0.8755 |
| 0.918 | 12.0 | 11532 | 0.8601 |
| 0.9112 | 13.0 | 12493 | 0.8541 |
| 0.9043 | 14.0 | 13454 | 0.8548 |
| 0.8984 | 15.0 | 14415 | 0.8470 |
| 0.8958 | 16.0 | 15376 | 0.8412 |
| 0.8914 | 17.0 | 16337 | 0.8345 |
| 0.8882 | 18.0 | 17298 | 0.8353 |
| 0.8871 | 19.0 | 18259 | 0.8344 |
| 0.8839 | 20.0 | 19220 | 0.8382 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1