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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google-bert/bert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: mbert-hatespeechdetection-tamil |
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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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# mbert-hatespeechdetection-tamil |
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5521 |
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- Accuracy: 0.8627 |
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- F1: 0.8293 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.69 | 1.0 | 13 | 0.6642 | 0.6275 | 0.2963 | |
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| 0.6359 | 2.0 | 26 | 0.5405 | 0.7647 | 0.76 | |
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| 0.506 | 3.0 | 39 | 0.5011 | 0.7843 | 0.7843 | |
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| 0.3823 | 4.0 | 52 | 0.4513 | 0.8431 | 0.84 | |
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| 0.2723 | 5.0 | 65 | 0.3428 | 0.8627 | 0.8511 | |
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| 0.1862 | 6.0 | 78 | 0.3705 | 0.8431 | 0.8182 | |
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| 0.132 | 7.0 | 91 | 0.4117 | 0.8627 | 0.8511 | |
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| 0.0629 | 8.0 | 104 | 0.5471 | 0.8627 | 0.8293 | |
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| 0.0302 | 9.0 | 117 | 0.6216 | 0.8627 | 0.8293 | |
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| 0.0083 | 10.0 | 130 | 0.7940 | 0.8431 | 0.8000 | |
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| 0.038 | 11.0 | 143 | 0.7867 | 0.8627 | 0.8293 | |
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| 0.052 | 12.0 | 156 | 0.7889 | 0.8431 | 0.8182 | |
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| 0.0179 | 13.0 | 169 | 1.0893 | 0.8039 | 0.8 | |
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| 0.0032 | 14.0 | 182 | 0.9028 | 0.8627 | 0.8108 | |
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| 0.0021 | 15.0 | 195 | 0.8124 | 0.8431 | 0.7895 | |
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| 0.0018 | 16.0 | 208 | 0.6030 | 0.8627 | 0.8205 | |
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| 0.0014 | 17.0 | 221 | 0.9289 | 0.8235 | 0.8085 | |
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| 0.0015 | 18.0 | 234 | 0.6005 | 0.8824 | 0.8421 | |
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| 0.0013 | 19.0 | 247 | 0.5998 | 0.8824 | 0.8421 | |
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| 0.0012 | 20.0 | 260 | 0.5521 | 0.8627 | 0.8293 | |
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### Framework versions |
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- Transformers 4.53.3 |
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- Pytorch 2.9.1+cu128 |
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- Datasets 4.4.1 |
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- Tokenizers 0.21.2 |
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