abte-restaurants-distilbert-base-uncased
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2387
- F1-score: 0.8272
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.6621 | 1.0 | 15 | 0.5167 | 0.0084 |
| 0.3639 | 2.0 | 30 | 0.3092 | 0.5360 |
| 0.2349 | 3.0 | 45 | 0.2581 | 0.6078 |
| 0.1794 | 4.0 | 60 | 0.2314 | 0.6587 |
| 0.1444 | 5.0 | 75 | 0.2149 | 0.7298 |
| 0.1102 | 6.0 | 90 | 0.2024 | 0.7654 |
| 0.0903 | 7.0 | 105 | 0.2036 | 0.7991 |
| 0.076 | 8.0 | 120 | 0.2047 | 0.8189 |
| 0.0642 | 9.0 | 135 | 0.2067 | 0.8163 |
| 0.0543 | 10.0 | 150 | 0.2133 | 0.8208 |
| 0.0493 | 11.0 | 165 | 0.2153 | 0.8191 |
| 0.0426 | 12.0 | 180 | 0.2186 | 0.8225 |
| 0.0403 | 13.0 | 195 | 0.2258 | 0.8249 |
| 0.0374 | 14.0 | 210 | 0.2286 | 0.8225 |
| 0.0348 | 15.0 | 225 | 0.2286 | 0.8245 |
| 0.0318 | 16.0 | 240 | 0.2347 | 0.8250 |
| 0.0305 | 17.0 | 255 | 0.2351 | 0.8265 |
| 0.0296 | 18.0 | 270 | 0.2356 | 0.8260 |
| 0.0292 | 19.0 | 285 | 0.2371 | 0.8275 |
| 0.0285 | 20.0 | 300 | 0.2387 | 0.8272 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0