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--- |
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library_name: transformers |
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license: mit |
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base_model: ai4bharat/IndicBERTv2-MLM-only |
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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: Paraphrase_IndicBERTv2-MLMonly_onfull_FT2 |
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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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# Paraphrase_IndicBERTv2-MLMonly_onfull_FT2 |
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This model is a fine-tuned version of [ai4bharat/IndicBERTv2-MLM-only](https://huggingface.co/ai4bharat/IndicBERTv2-MLM-only) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4658 |
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- Accuracy: 0.86 |
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- F1: 0.8597 |
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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: 2.138609221548472e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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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: 5 |
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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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| 0.3855 | 1.0 | 157 | 0.3977 | 0.814 | 0.8118 | |
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| 0.2228 | 2.0 | 314 | 0.3560 | 0.857 | 0.8566 | |
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| 0.1749 | 3.0 | 471 | 0.3993 | 0.8555 | 0.8548 | |
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| 0.0935 | 4.0 | 628 | 0.4567 | 0.8575 | 0.8563 | |
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| 0.0649 | 5.0 | 785 | 0.4658 | 0.86 | 0.8597 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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