<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
recipe-lr2e05-wd0.02-bs32
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: 0.2784
- Rmse: 0.5277
- Mse: 0.2784
- Mae: 0.4161
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse | Mse | Mae |
|---|---|---|---|---|---|---|
| 0.2774 | 1.0 | 623 | 0.2749 | 0.5243 | 0.2749 | 0.4184 |
| 0.2741 | 2.0 | 1246 | 0.2741 | 0.5235 | 0.2741 | 0.4173 |
| 0.2724 | 3.0 | 1869 | 0.2855 | 0.5343 | 0.2855 | 0.4428 |
| 0.2713 | 4.0 | 2492 | 0.2758 | 0.5252 | 0.2758 | 0.4013 |
| 0.2695 | 5.0 | 3115 | 0.2777 | 0.5270 | 0.2777 | 0.4245 |
| 0.2674 | 6.0 | 3738 | 0.2784 | 0.5277 | 0.2784 | 0.4161 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
