metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: recipe-roberta-lr2e05-wd0.02-bs32
results: []
recipe-roberta-lr2e05-wd0.02-bs32
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2782
- Rmse: 0.5274
- Mse: 0.2782
- Mae: 0.4286
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 |
|---|---|---|---|---|---|---|
| 0.2781 | 1.0 | 623 | 0.2736 | 0.5231 | 0.2736 | 0.4122 |
| 0.274 | 2.0 | 1246 | 0.2758 | 0.5251 | 0.2758 | 0.4243 |
| 0.2721 | 3.0 | 1869 | 0.2782 | 0.5274 | 0.2782 | 0.4286 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1