roberta_sst2_padding10model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5439
- Accuracy: 0.9401
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 | 0.2015 | 0.9308 |
| 0.3269 | 2.0 | 866 | 0.3417 | 0.9083 |
| 0.1879 | 3.0 | 1299 | 0.2749 | 0.9357 |
| 0.109 | 4.0 | 1732 | 0.4100 | 0.9357 |
| 0.0667 | 5.0 | 2165 | 0.4702 | 0.9253 |
| 0.0426 | 6.0 | 2598 | 0.4966 | 0.9325 |
| 0.0255 | 7.0 | 3031 | 0.4133 | 0.9357 |
| 0.0255 | 8.0 | 3464 | 0.4515 | 0.9429 |
| 0.0222 | 9.0 | 3897 | 0.4046 | 0.9445 |
| 0.0278 | 10.0 | 4330 | 0.5288 | 0.9357 |
| 0.0119 | 11.0 | 4763 | 0.5001 | 0.9385 |
| 0.0085 | 12.0 | 5196 | 0.5208 | 0.9374 |
| 0.0138 | 13.0 | 5629 | 0.5213 | 0.9368 |
| 0.0097 | 14.0 | 6062 | 0.5023 | 0.9407 |
| 0.0097 | 15.0 | 6495 | 0.5428 | 0.9319 |
| 0.0111 | 16.0 | 6928 | 0.5067 | 0.9407 |
| 0.0041 | 17.0 | 7361 | 0.5007 | 0.9440 |
| 0.0053 | 18.0 | 7794 | 0.5224 | 0.9396 |
| 0.0009 | 19.0 | 8227 | 0.5436 | 0.9407 |
| 0.0019 | 20.0 | 8660 | 0.5439 | 0.9401 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.13.3