<!-- 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-lr8e06-wd0.01-bs8
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: 0.2782
- Rmse: 0.5274
- Mse: 0.2782
- Mae: 0.4299
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: 8e-06
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
---|---|---|---|---|---|---|
0.2766 | 1.0 | 2490 | 0.2739 | 0.5234 | 0.2739 | 0.4152 |
0.2739 | 2.0 | 4980 | 0.2769 | 0.5262 | 0.2769 | 0.4274 |
0.2725 | 3.0 | 7470 | 0.2782 | 0.5274 | 0.2782 | 0.4299 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1