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--- |
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library_name: transformers |
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base_model: rohanrajpal/bert-base-codemixed-uncased-sentiment |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mlm-code-roman-finetuned-final |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mlm-code-roman-finetuned-final |
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This model is a fine-tuned version of [rohanrajpal/bert-base-codemixed-uncased-sentiment](https://huggingface.co/rohanrajpal/bert-base-codemixed-uncased-sentiment) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2295 |
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- Model Preparation Time: 0.0031 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------------:| |
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| 4.8669 | 1.0 | 1834 | 4.6996 | 0.0031 | |
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| 4.2832 | 2.0 | 3668 | 4.1303 | 0.0031 | |
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| 3.9681 | 3.0 | 5502 | 3.9828 | 0.0031 | |
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| 3.8238 | 4.0 | 7336 | nan | 0.0031 | |
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| 3.8079 | 5.0 | 9170 | 3.6848 | 0.0031 | |
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| 3.5443 | 6.0 | 11004 | nan | 0.0031 | |
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| 3.4345 | 7.0 | 12838 | 3.6615 | 0.0031 | |
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| 3.3339 | 8.0 | 14672 | nan | 0.0031 | |
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| 3.2448 | 9.0 | 16506 | 3.5461 | 0.0031 | |
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| 3.1693 | 10.0 | 18340 | 3.4980 | 0.0031 | |
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| 3.2229 | 11.0 | 20174 | nan | 0.0031 | |
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| 3.0313 | 12.0 | 22008 | 3.4317 | 0.0031 | |
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| 2.9187 | 13.0 | 23842 | 3.4374 | 0.0031 | |
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| 2.7454 | 14.0 | 25676 | 3.3087 | 0.0031 | |
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| 2.8174 | 15.0 | 27510 | nan | 0.0031 | |
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| 2.6992 | 16.0 | 29344 | 3.2808 | 0.0031 | |
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| 2.7873 | 17.0 | 31178 | nan | 0.0031 | |
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| 2.7171 | 18.0 | 33012 | 3.3550 | 0.0031 | |
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| 2.6304 | 19.0 | 34846 | 3.1810 | 0.0031 | |
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| 2.5512 | 20.0 | 36680 | 3.4333 | 0.0031 | |
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| 2.4428 | 21.0 | 38514 | 3.2822 | 0.0031 | |
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| 2.4032 | 22.0 | 40348 | 3.2255 | 0.0031 | |
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| 2.3325 | 23.0 | 42182 | nan | 0.0031 | |
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| 2.3242 | 24.0 | 44016 | nan | 0.0031 | |
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| 2.2707 | 25.0 | 45850 | 3.2783 | 0.0031 | |
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| 2.2549 | 26.0 | 47684 | 3.1391 | 0.0031 | |
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| 2.1746 | 27.0 | 49518 | 3.2615 | 0.0031 | |
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| 2.1261 | 28.0 | 51352 | 3.3844 | 0.0031 | |
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| 2.131 | 29.0 | 53186 | nan | 0.0031 | |
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| 2.0258 | 30.0 | 55020 | nan | 0.0031 | |
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| 2.0013 | 31.0 | 56854 | 3.2128 | 0.0031 | |
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| 1.9835 | 32.0 | 58688 | 3.2159 | 0.0031 | |
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| 1.9533 | 33.0 | 60522 | 3.1775 | 0.0031 | |
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| 1.8876 | 34.0 | 62356 | nan | 0.0031 | |
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| 1.8624 | 35.0 | 64190 | nan | 0.0031 | |
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| 1.8181 | 36.0 | 66024 | nan | 0.0031 | |
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| 1.8068 | 37.0 | 67858 | 3.2109 | 0.0031 | |
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| 1.7557 | 38.0 | 69692 | 3.0247 | 0.0031 | |
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| 1.6394 | 39.0 | 71526 | nan | 0.0031 | |
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| 1.7325 | 40.0 | 73360 | 3.1127 | 0.0031 | |
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| 1.7365 | 41.0 | 75194 | nan | 0.0031 | |
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| 1.6807 | 42.0 | 77028 | 3.0874 | 0.0031 | |
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| 1.5981 | 43.0 | 78862 | 3.0828 | 0.0031 | |
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| 1.6304 | 44.0 | 80696 | 3.1521 | 0.0031 | |
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| 1.568 | 45.0 | 82530 | 3.2340 | 0.0031 | |
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| 1.5382 | 46.0 | 84364 | nan | 0.0031 | |
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| 1.387 | 47.0 | 86198 | 3.2172 | 0.0031 | |
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| 1.5521 | 48.0 | 88032 | 3.1709 | 0.0031 | |
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| 1.4808 | 49.0 | 89866 | nan | 0.0031 | |
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| 1.4629 | 50.0 | 91700 | nan | 0.0031 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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