N_bert_imdb_padding0model
This model is a fine-tuned version of bert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.6575
- Accuracy: 0.9405
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 |
|---|---|---|---|---|
| 0.2204 | 1.0 | 1563 | 0.2086 | 0.9332 |
| 0.1501 | 2.0 | 3126 | 0.2195 | 0.9356 |
| 0.0871 | 3.0 | 4689 | 0.3156 | 0.935 |
| 0.0555 | 4.0 | 6252 | 0.3170 | 0.9314 |
| 0.0362 | 5.0 | 7815 | 0.3568 | 0.9353 |
| 0.0282 | 6.0 | 9378 | 0.4438 | 0.9380 |
| 0.0199 | 7.0 | 10941 | 0.4900 | 0.9357 |
| 0.0219 | 8.0 | 12504 | 0.4963 | 0.9344 |
| 0.0115 | 9.0 | 14067 | 0.5554 | 0.9333 |
| 0.0078 | 10.0 | 15630 | 0.5974 | 0.9340 |
| 0.0087 | 11.0 | 17193 | 0.6081 | 0.9360 |
| 0.0038 | 12.0 | 18756 | 0.5909 | 0.9322 |
| 0.0096 | 13.0 | 20319 | 0.6002 | 0.9381 |
| 0.0061 | 14.0 | 21882 | 0.5645 | 0.9372 |
| 0.0057 | 15.0 | 23445 | 0.6415 | 0.9388 |
| 0.0019 | 16.0 | 25008 | 0.6901 | 0.9388 |
| 0.0005 | 17.0 | 26571 | 0.7099 | 0.9389 |
| 0.0 | 18.0 | 28134 | 0.7022 | 0.9392 |
| 0.0008 | 19.0 | 29697 | 0.6640 | 0.9398 |
| 0.0 | 20.0 | 31260 | 0.6575 | 0.9405 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3