metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: recipe-lr5e05-wd0.08-bs32
results: []
recipe-lr5e05-wd0.08-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: 0.2751
- Rmse: 0.5245
- Mse: 0.2751
- Mae: 0.4130
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: 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 |
|---|---|---|---|---|---|---|
| 0.2791 | 1.0 | 1245 | 0.2773 | 0.5266 | 0.2773 | 0.4252 |
| 0.276 | 2.0 | 2490 | 0.2813 | 0.5304 | 0.2813 | 0.4356 |
| 0.2742 | 3.0 | 3735 | 0.2750 | 0.5244 | 0.2750 | 0.4209 |
| 0.2725 | 4.0 | 4980 | 0.2761 | 0.5254 | 0.2761 | 0.4033 |
| 0.2709 | 5.0 | 6225 | 0.2754 | 0.5248 | 0.2754 | 0.4218 |
| 0.269 | 6.0 | 7470 | 0.2751 | 0.5245 | 0.2751 | 0.4130 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1