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recipe-distil
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3731
- Rmse: 1.8366
- Mse: 3.3731
- Mae: 1.6145
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse | Mse | Mae |
|---|---|---|---|---|---|---|
| 3.3242 | 1.0 | 12809 | 3.3718 | 1.8362 | 3.3718 | 1.6145 |
| 3.3237 | 2.0 | 25618 | 3.3720 | 1.8363 | 3.3720 | 1.6145 |
| 3.3214 | 3.0 | 38427 | 3.3719 | 1.8363 | 3.3719 | 1.6145 |
| 3.3207 | 4.0 | 51236 | 3.3759 | 1.8374 | 3.3759 | 1.6145 |
| 3.32 | 5.0 | 64045 | 3.3721 | 1.8363 | 3.3721 | 1.6145 |
| 3.3199 | 6.0 | 76854 | 3.3730 | 1.8366 | 3.3730 | 1.6145 |
| 3.3191 | 7.0 | 89663 | 3.3728 | 1.8365 | 3.3728 | 1.6145 |
| 3.3189 | 8.0 | 102472 | 3.3718 | 1.8363 | 3.3718 | 1.6145 |
| 3.319 | 9.0 | 115281 | 3.3731 | 1.8366 | 3.3731 | 1.6145 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
