recipe-roberta-i
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9919
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 |
|---|---|---|---|
| 1.871 | 1.0 | 149 | 1.4670 |
| 1.528 | 2.0 | 298 | 1.3426 |
| 1.41 | 3.0 | 447 | 1.2636 |
| 1.3332 | 4.0 | 596 | 1.2029 |
| 1.2804 | 5.0 | 745 | 1.1646 |
| 1.2441 | 6.0 | 894 | 1.1351 |
| 1.21 | 7.0 | 1043 | 1.0898 |
| 1.182 | 8.0 | 1192 | 1.0725 |
| 1.1604 | 9.0 | 1341 | 1.0718 |
| 1.1402 | 10.0 | 1490 | 1.0529 |
| 1.1308 | 11.0 | 1639 | 1.0512 |
| 1.1191 | 12.0 | 1788 | 1.0245 |
| 1.0986 | 13.0 | 1937 | 1.0203 |
| 1.0919 | 14.0 | 2086 | 1.0158 |
| 1.084 | 15.0 | 2235 | 0.9930 |
| 1.0797 | 16.0 | 2384 | 0.9855 |
| 1.0697 | 17.0 | 2533 | 1.0061 |
| 1.0652 | 18.0 | 2682 | 0.9725 |
| 1.0658 | 19.0 | 2831 | 0.9861 |
| 1.0642 | 20.0 | 2980 | 0.9919 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
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