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--- |
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library_name: transformers |
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license: cc-by-4.0 |
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base_model: l3cube-pune/malayalam-bert |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Malayalam_QA_model |
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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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# Malayalam_QA_model |
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This model is a fine-tuned version of [l3cube-pune/malayalam-bert](https://huggingface.co/l3cube-pune/malayalam-bert) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.9506 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.9504 | 1.0 | 386 | 5.9506 | |
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| 5.9486 | 2.0 | 772 | 5.9506 | |
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| 5.9517 | 3.0 | 1158 | 5.9506 | |
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| 5.9508 | 4.0 | 1544 | 5.9506 | |
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| 5.9508 | 5.0 | 1930 | 5.9506 | |
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| 5.9505 | 6.0 | 2316 | 5.9506 | |
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| 5.9507 | 7.0 | 2702 | 5.9506 | |
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| 5.9504 | 8.0 | 3088 | 5.9506 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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