metadata
library_name: transformers
base_model: rohanrajpal/bert-base-codemixed-uncased-sentiment
tags:
- generated_from_trainer
model-index:
- name: mlm-code-roman-finetuned-final
results: []
mlm-code-roman-finetuned-final
This model is a fine-tuned version of rohanrajpal/bert-base-codemixed-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2295
- Model Preparation Time: 0.0031
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use 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: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 4.8669 | 1.0 | 1834 | 4.6996 | 0.0031 |
| 4.2832 | 2.0 | 3668 | 4.1303 | 0.0031 |
| 3.9681 | 3.0 | 5502 | 3.9828 | 0.0031 |
| 3.8238 | 4.0 | 7336 | nan | 0.0031 |
| 3.8079 | 5.0 | 9170 | 3.6848 | 0.0031 |
| 3.5443 | 6.0 | 11004 | nan | 0.0031 |
| 3.4345 | 7.0 | 12838 | 3.6615 | 0.0031 |
| 3.3339 | 8.0 | 14672 | nan | 0.0031 |
| 3.2448 | 9.0 | 16506 | 3.5461 | 0.0031 |
| 3.1693 | 10.0 | 18340 | 3.4980 | 0.0031 |
| 3.2229 | 11.0 | 20174 | nan | 0.0031 |
| 3.0313 | 12.0 | 22008 | 3.4317 | 0.0031 |
| 2.9187 | 13.0 | 23842 | 3.4374 | 0.0031 |
| 2.7454 | 14.0 | 25676 | 3.3087 | 0.0031 |
| 2.8174 | 15.0 | 27510 | nan | 0.0031 |
| 2.6992 | 16.0 | 29344 | 3.2808 | 0.0031 |
| 2.7873 | 17.0 | 31178 | nan | 0.0031 |
| 2.7171 | 18.0 | 33012 | 3.3550 | 0.0031 |
| 2.6304 | 19.0 | 34846 | 3.1810 | 0.0031 |
| 2.5512 | 20.0 | 36680 | 3.4333 | 0.0031 |
| 2.4428 | 21.0 | 38514 | 3.2822 | 0.0031 |
| 2.4032 | 22.0 | 40348 | 3.2255 | 0.0031 |
| 2.3325 | 23.0 | 42182 | nan | 0.0031 |
| 2.3242 | 24.0 | 44016 | nan | 0.0031 |
| 2.2707 | 25.0 | 45850 | 3.2783 | 0.0031 |
| 2.2549 | 26.0 | 47684 | 3.1391 | 0.0031 |
| 2.1746 | 27.0 | 49518 | 3.2615 | 0.0031 |
| 2.1261 | 28.0 | 51352 | 3.3844 | 0.0031 |
| 2.131 | 29.0 | 53186 | nan | 0.0031 |
| 2.0258 | 30.0 | 55020 | nan | 0.0031 |
| 2.0013 | 31.0 | 56854 | 3.2128 | 0.0031 |
| 1.9835 | 32.0 | 58688 | 3.2159 | 0.0031 |
| 1.9533 | 33.0 | 60522 | 3.1775 | 0.0031 |
| 1.8876 | 34.0 | 62356 | nan | 0.0031 |
| 1.8624 | 35.0 | 64190 | nan | 0.0031 |
| 1.8181 | 36.0 | 66024 | nan | 0.0031 |
| 1.8068 | 37.0 | 67858 | 3.2109 | 0.0031 |
| 1.7557 | 38.0 | 69692 | 3.0247 | 0.0031 |
| 1.6394 | 39.0 | 71526 | nan | 0.0031 |
| 1.7325 | 40.0 | 73360 | 3.1127 | 0.0031 |
| 1.7365 | 41.0 | 75194 | nan | 0.0031 |
| 1.6807 | 42.0 | 77028 | 3.0874 | 0.0031 |
| 1.5981 | 43.0 | 78862 | 3.0828 | 0.0031 |
| 1.6304 | 44.0 | 80696 | 3.1521 | 0.0031 |
| 1.568 | 45.0 | 82530 | 3.2340 | 0.0031 |
| 1.5382 | 46.0 | 84364 | nan | 0.0031 |
| 1.387 | 47.0 | 86198 | 3.2172 | 0.0031 |
| 1.5521 | 48.0 | 88032 | 3.1709 | 0.0031 |
| 1.4808 | 49.0 | 89866 | nan | 0.0031 |
| 1.4629 | 50.0 | 91700 | nan | 0.0031 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.2.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1