metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-cased-finetuned-CAJ
results: []
bert-base-multilingual-cased-finetuned-CAJ
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4226
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0475 | 1.0 | 4 | 0.9036 |
| 0.856 | 2.0 | 8 | 0.7524 |
| 0.8014 | 3.0 | 12 | 0.9149 |
| 0.7855 | 4.0 | 16 | 0.8052 |
| 0.6329 | 5.0 | 20 | 0.8866 |
| 0.7714 | 6.0 | 24 | 0.9880 |
| 0.6925 | 7.0 | 28 | 0.7490 |
| 0.6408 | 8.0 | 32 | 0.6889 |
| 0.6983 | 9.0 | 36 | 0.7648 |
| 0.6028 | 10.0 | 40 | 0.4431 |
| 0.5899 | 11.0 | 44 | 0.6020 |
| 0.6032 | 12.0 | 48 | 0.5415 |
| 0.5282 | 13.0 | 52 | 0.5124 |
| 0.5528 | 14.0 | 56 | 0.6242 |
| 0.5191 | 15.0 | 60 | 0.4651 |
| 0.5307 | 16.0 | 64 | 0.7029 |
| 0.5309 | 17.0 | 68 | 0.5505 |
| 0.4425 | 18.0 | 72 | 0.4792 |
| 0.4594 | 19.0 | 76 | 0.3245 |
| 0.4425 | 20.0 | 80 | 0.5562 |
| 0.4409 | 21.0 | 84 | 0.4026 |
| 0.442 | 22.0 | 88 | 0.4993 |
| 0.4535 | 23.0 | 92 | 0.5693 |
| 0.3707 | 24.0 | 96 | 0.4002 |
| 0.3914 | 25.0 | 100 | 0.5969 |
| 0.3493 | 26.0 | 104 | 0.3247 |
| 0.3595 | 27.0 | 108 | 0.3832 |
| 0.395 | 28.0 | 112 | 0.4497 |
| 0.4186 | 29.0 | 116 | 0.3194 |
| 0.4131 | 30.0 | 120 | 0.3699 |
| 0.357 | 31.0 | 124 | 0.4968 |
| 0.3369 | 32.0 | 128 | 0.4404 |
| 0.3734 | 33.0 | 132 | 0.4266 |
| 0.342 | 34.0 | 136 | 0.5202 |
| 0.3643 | 35.0 | 140 | 0.3872 |
| 0.3362 | 36.0 | 144 | 0.5037 |
| 0.3302 | 37.0 | 148 | 0.5572 |
| 0.3241 | 38.0 | 152 | 0.4138 |
| 0.299 | 39.0 | 156 | 0.2888 |
| 0.3383 | 40.0 | 160 | 0.5453 |
| 0.3786 | 41.0 | 164 | 0.3909 |
| 0.3121 | 42.0 | 168 | 0.4414 |
| 0.3357 | 43.0 | 172 | 0.3216 |
| 0.3601 | 44.0 | 176 | 0.3046 |
| 0.2662 | 45.0 | 180 | 0.4090 |
| 0.2979 | 46.0 | 184 | 0.4571 |
| 0.4222 | 47.0 | 188 | 0.4513 |
| 0.3006 | 48.0 | 192 | 0.3829 |
| 0.3385 | 49.0 | 196 | 0.3473 |
| 0.2711 | 50.0 | 200 | 0.3419 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2