bert_sst5_padding0model
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: 4.1289
- Accuracy: 0.5348
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 |
|---|---|---|---|---|
| 1.2571 | 1.0 | 534 | 1.1825 | 0.4674 |
| 0.9473 | 2.0 | 1068 | 1.0990 | 0.5344 |
| 0.7153 | 3.0 | 1602 | 1.3597 | 0.5122 |
| 0.5464 | 4.0 | 2136 | 1.4853 | 0.5140 |
| 0.3754 | 5.0 | 2670 | 1.7687 | 0.5222 |
| 0.2672 | 6.0 | 3204 | 2.0400 | 0.5294 |
| 0.1965 | 7.0 | 3738 | 2.3921 | 0.5149 |
| 0.1593 | 8.0 | 4272 | 2.5796 | 0.5262 |
| 0.1308 | 9.0 | 4806 | 2.9764 | 0.5281 |
| 0.1074 | 10.0 | 5340 | 3.1247 | 0.5299 |
| 0.0922 | 11.0 | 5874 | 3.4653 | 0.5290 |
| 0.0602 | 12.0 | 6408 | 3.6541 | 0.5217 |
| 0.0487 | 13.0 | 6942 | 3.8270 | 0.5294 |
| 0.0364 | 14.0 | 7476 | 3.9558 | 0.5276 |
| 0.0367 | 15.0 | 8010 | 3.8927 | 0.5380 |
| 0.0218 | 16.0 | 8544 | 4.0195 | 0.5326 |
| 0.0166 | 17.0 | 9078 | 4.0571 | 0.5312 |
| 0.0145 | 18.0 | 9612 | 4.1334 | 0.5335 |
| 0.0102 | 19.0 | 10146 | 4.0970 | 0.5294 |
| 0.0073 | 20.0 | 10680 | 4.1289 | 0.5348 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3