bert_sst5_padding50model
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1434
- Accuracy: 0.5357
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 |
|---|---|---|---|---|
| 1.2989 | 1.0 | 534 | 1.2481 | 0.4520 |
| 0.9866 | 2.0 | 1068 | 1.0774 | 0.5416 |
| 0.7639 | 3.0 | 1602 | 1.1460 | 0.5294 |
| 0.5824 | 4.0 | 2136 | 1.4723 | 0.5136 |
| 0.4104 | 5.0 | 2670 | 1.6064 | 0.5294 |
| 0.3146 | 6.0 | 3204 | 1.8671 | 0.5231 |
| 0.2298 | 7.0 | 3738 | 2.1795 | 0.5181 |
| 0.1771 | 8.0 | 4272 | 2.3543 | 0.5321 |
| 0.1429 | 9.0 | 4806 | 2.7375 | 0.5222 |
| 0.1153 | 10.0 | 5340 | 3.1331 | 0.5339 |
| 0.0981 | 11.0 | 5874 | 3.2020 | 0.5403 |
| 0.0764 | 12.0 | 6408 | 3.3910 | 0.5362 |
| 0.0637 | 13.0 | 6942 | 3.6035 | 0.5312 |
| 0.0418 | 14.0 | 7476 | 3.6734 | 0.5226 |
| 0.0352 | 15.0 | 8010 | 3.8465 | 0.5271 |
| 0.0267 | 16.0 | 8544 | 4.0115 | 0.5240 |
| 0.0166 | 17.0 | 9078 | 3.9827 | 0.5290 |
| 0.0125 | 18.0 | 9612 | 4.0704 | 0.5335 |
| 0.0078 | 19.0 | 10146 | 4.1352 | 0.5290 |
| 0.0062 | 20.0 | 10680 | 4.1434 | 0.5357 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3