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recipe-lr1e05-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: 0.2756
- Rmse: 0.5250
- Mse: 0.2756
- Mae: 0.4181
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: 1e-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 |
---|---|---|---|---|---|---|
0.2769 | 1.0 | 623 | 0.2768 | 0.5261 | 0.2768 | 0.4281 |
0.2743 | 2.0 | 1246 | 0.2739 | 0.5234 | 0.2739 | 0.4152 |
0.2732 | 3.0 | 1869 | 0.2760 | 0.5253 | 0.2760 | 0.4229 |
0.2719 | 4.0 | 2492 | 0.2749 | 0.5243 | 0.2749 | 0.4041 |
0.271 | 5.0 | 3115 | 0.2761 | 0.5255 | 0.2761 | 0.4238 |
0.2699 | 6.0 | 3738 | 0.2756 | 0.5250 | 0.2756 | 0.4181 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1