camembert_question_answering_tools_fr
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8470
- Learning Rate: 0.0
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: 0.0001
- train_batch_size: 24
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss | Rate |
|---|---|---|---|---|
| No log | 1.0 | 7 | 4.1208 | 0.0001 |
| No log | 2.0 | 14 | 3.2825 | 0.0001 |
| No log | 3.0 | 21 | 3.0182 | 0.0001 |
| No log | 4.0 | 28 | 2.8863 | 0.0001 |
| No log | 5.0 | 35 | 2.8072 | 0.0001 |
| No log | 6.0 | 42 | 2.7408 | 9e-05 |
| No log | 7.0 | 49 | 2.6830 | 0.0001 |
| No log | 8.0 | 56 | 2.6311 | 0.0001 |
| No log | 9.0 | 63 | 2.5832 | 0.0001 |
| No log | 10.0 | 70 | 2.5409 | 0.0001 |
| No log | 11.0 | 77 | 2.5002 | 0.0001 |
| No log | 12.0 | 84 | 2.4644 | 8e-05 |
| No log | 13.0 | 91 | 2.6593 | 0.0001 |
| No log | 14.0 | 98 | 3.1933 | 0.0001 |
| No log | 15.0 | 105 | 2.8660 | 0.0001 |
| No log | 16.0 | 112 | 2.8877 | 0.0001 |
| No log | 17.0 | 119 | 2.8835 | 0.0001 |
| No log | 18.0 | 126 | 3.1413 | 7e-05 |
| No log | 19.0 | 133 | 2.3645 | 0.0001 |
| No log | 20.0 | 140 | 2.6474 | 0.0001 |
| No log | 21.0 | 147 | 2.6844 | 0.0001 |
| No log | 22.0 | 154 | 2.6115 | 0.0001 |
| No log | 23.0 | 161 | 2.6331 | 0.0001 |
| No log | 24.0 | 168 | 2.6264 | 6e-05 |
| No log | 25.0 | 175 | 2.8091 | 0.0001 |
| No log | 26.0 | 182 | 3.0149 | 0.0001 |
| No log | 27.0 | 189 | 3.1302 | 0.0001 |
| No log | 28.0 | 196 | 3.3069 | 0.0001 |
| No log | 29.0 | 203 | 2.9019 | 0.0001 |
| No log | 30.0 | 210 | 2.9813 | 5e-05 |
| No log | 31.0 | 217 | 3.0455 | 0.0000 |
| No log | 32.0 | 224 | 2.5279 | 0.0000 |
| No log | 33.0 | 231 | 2.3590 | 0.0000 |
| No log | 34.0 | 238 | 2.1238 | 0.0000 |
| No log | 35.0 | 245 | 2.0876 | 0.0000 |
| No log | 36.0 | 252 | 2.2768 | 4e-05 |
| No log | 37.0 | 259 | 2.1171 | 0.0000 |
| No log | 38.0 | 266 | 2.0958 | 0.0000 |
| No log | 39.0 | 273 | 2.1616 | 0.0000 |
| No log | 40.0 | 280 | 2.0285 | 0.0000 |
| No log | 41.0 | 287 | 1.8582 | 0.0000 |
| No log | 42.0 | 294 | 1.7696 | 3e-05 |
| No log | 43.0 | 301 | 1.6826 | 0.0000 |
| No log | 44.0 | 308 | 2.1097 | 0.0000 |
| No log | 45.0 | 315 | 1.8101 | 0.0000 |
| No log | 46.0 | 322 | 1.8781 | 0.0000 |
| No log | 47.0 | 329 | 1.6785 | 0.0000 |
| No log | 48.0 | 336 | 1.7334 | 2e-05 |
| No log | 49.0 | 343 | 1.7917 | 0.0000 |
| No log | 50.0 | 350 | 1.6310 | 0.0000 |
| No log | 51.0 | 357 | 1.5047 | 0.0000 |
| No log | 52.0 | 364 | 1.6845 | 0.0000 |
| No log | 53.0 | 371 | 1.6887 | 0.0000 |
| No log | 54.0 | 378 | 1.6869 | 1e-05 |
| No log | 55.0 | 385 | 1.6888 | 0.0000 |
| No log | 56.0 | 392 | 1.7991 | 0.0000 |
| No log | 57.0 | 399 | 1.8191 | 5e-06 |
| No log | 58.0 | 406 | 1.8621 | 0.0000 |
| No log | 59.0 | 413 | 1.8628 | 0.0000 |
| No log | 60.0 | 420 | 1.8470 | 0.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1