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recipistil
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: 1.9743
- Rmse: 1.4051
- Mse: 1.9743
- Mae: 1.0578
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: 5e-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 |
|---|---|---|---|---|---|---|
| 1.9657 | 1.0 | 8126 | 1.9789 | 1.4067 | 1.9789 | 1.0578 |
| 1.9617 | 2.0 | 16252 | 1.9873 | 1.4097 | 1.9873 | 1.0620 |
| 1.9588 | 3.0 | 24378 | 1.9769 | 1.4060 | 1.9769 | 1.0578 |
| 1.958 | 4.0 | 32504 | 1.9736 | 1.4048 | 1.9736 | 1.0578 |
| 1.9568 | 5.0 | 40630 | 1.9772 | 1.4061 | 1.9772 | 1.0578 |
| 1.9564 | 6.0 | 48756 | 1.9736 | 1.4048 | 1.9736 | 1.0578 |
| 1.9563 | 7.0 | 56882 | 1.9737 | 1.4049 | 1.9737 | 1.0578 |
| 1.9561 | 8.0 | 65008 | 1.9737 | 1.4049 | 1.9737 | 1.0578 |
| 1.9559 | 9.0 | 73134 | 1.9743 | 1.4051 | 1.9743 | 1.0578 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
