roberta_sst2_padding0model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4539
- Accuracy: 0.9484
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 433 | 0.1891 | 0.9407 |
| 0.3324 | 2.0 | 866 | 0.3948 | 0.9176 |
| 0.1922 | 3.0 | 1299 | 0.2418 | 0.9379 |
| 0.126 | 4.0 | 1732 | 0.3080 | 0.9407 |
| 0.069 | 5.0 | 2165 | 0.4075 | 0.9396 |
| 0.0358 | 6.0 | 2598 | 0.3955 | 0.9418 |
| 0.0298 | 7.0 | 3031 | 0.4060 | 0.9429 |
| 0.0298 | 8.0 | 3464 | 0.4284 | 0.9379 |
| 0.0207 | 9.0 | 3897 | 0.4804 | 0.9401 |
| 0.0197 | 10.0 | 4330 | 0.5089 | 0.9347 |
| 0.0177 | 11.0 | 4763 | 0.5430 | 0.9336 |
| 0.0143 | 12.0 | 5196 | 0.4997 | 0.9385 |
| 0.0138 | 13.0 | 5629 | 0.4695 | 0.9429 |
| 0.0066 | 14.0 | 6062 | 0.5391 | 0.9363 |
| 0.0066 | 15.0 | 6495 | 0.5354 | 0.9412 |
| 0.0042 | 16.0 | 6928 | 0.4295 | 0.9473 |
| 0.0067 | 17.0 | 7361 | 0.4948 | 0.9429 |
| 0.0053 | 18.0 | 7794 | 0.4720 | 0.9473 |
| 0.0041 | 19.0 | 8227 | 0.4552 | 0.9451 |
| 0.0068 | 20.0 | 8660 | 0.4539 | 0.9484 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.13.3