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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: my_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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# my_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: 1.3121 |
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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: 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 343 | 3.8942 | |
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| 4.0789 | 2.0 | 686 | 3.2806 | |
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| 3.2026 | 3.0 | 1029 | 2.6920 | |
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| 3.2026 | 4.0 | 1372 | 2.1975 | |
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| 2.4058 | 5.0 | 1715 | 1.8336 | |
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| 1.8407 | 6.0 | 2058 | 1.5926 | |
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| 1.8407 | 7.0 | 2401 | 1.4462 | |
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| 1.5268 | 8.0 | 2744 | 1.3634 | |
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| 1.3811 | 9.0 | 3087 | 1.3238 | |
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| 1.3811 | 10.0 | 3430 | 1.3121 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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