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bert-base-uncased-reviews-3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6955
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5181 | 1.0 | 54 | 1.8039 |
| 1.4081 | 2.0 | 108 | 1.9063 |
| 1.3536 | 3.0 | 162 | 1.8424 |
| 1.3028 | 4.0 | 216 | 1.8455 |
| 1.3154 | 5.0 | 270 | 1.8451 |
| 1.2665 | 6.0 | 324 | 1.9527 |
| 1.2539 | 7.0 | 378 | 1.8361 |
| 1.2688 | 8.0 | 432 | 1.8245 |
| 1.2686 | 9.0 | 486 | 1.7086 |
| 1.3128 | 10.0 | 540 | 1.7384 |
| 1.3215 | 11.0 | 594 | 1.8663 |
| 1.3384 | 12.0 | 648 | 1.7932 |
| 1.3674 | 13.0 | 702 | 1.8267 |
| 1.368 | 14.0 | 756 | 1.6911 |
| 1.401 | 15.0 | 810 | 1.7279 |
| 1.5053 | 16.0 | 864 | 1.6955 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.10.3
