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recipe-gauss-wo-outliers
This model is a fine-tuned version of paola-md/recipe-distilroberta-Is on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2885
- Rmse: 0.5371
- Mse: 0.2885
- Mae: 0.4213
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse | Mse | Mae |
|---|---|---|---|---|---|---|
| 0.2768 | 1.0 | 1245 | 0.2747 | 0.5241 | 0.2747 | 0.4081 |
| 0.2737 | 2.0 | 2490 | 0.2793 | 0.5285 | 0.2793 | 0.4288 |
| 0.2722 | 3.0 | 3735 | 0.2792 | 0.5284 | 0.2792 | 0.4332 |
| 0.2703 | 4.0 | 4980 | 0.2770 | 0.5263 | 0.2770 | 0.4000 |
| 0.2682 | 5.0 | 6225 | 0.2758 | 0.5252 | 0.2758 | 0.4183 |
| 0.2658 | 6.0 | 7470 | 0.2792 | 0.5284 | 0.2792 | 0.4212 |
| 0.2631 | 7.0 | 8715 | 0.2769 | 0.5262 | 0.2769 | 0.4114 |
| 0.2599 | 8.0 | 9960 | 0.2802 | 0.5294 | 0.2802 | 0.4107 |
| 0.2572 | 9.0 | 11205 | 0.2885 | 0.5371 | 0.2885 | 0.4213 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
