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--- |
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license: apache-2.0 |
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base_model: google/muril-base-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- accuracy |
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model-index: |
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- name: Muril-base-finetune-Tamil-questions |
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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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# Muril-base-finetune-Tamil-questions |
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This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4081 |
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- Precision: 0.9205 |
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- Recall: 0.9198 |
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- Accuracy: 0.9198 |
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- F1-score: 0.9199 |
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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 | Precision | Recall | Accuracy | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:| |
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| 1.5732 | 1.0 | 305 | 1.2601 | 0.8743 | 0.8858 | 0.8858 | 0.8790 | |
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| 0.9937 | 2.0 | 610 | 0.7465 | 0.8988 | 0.9098 | 0.9098 | 0.9033 | |
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| 0.5354 | 3.0 | 915 | 0.4557 | 0.9044 | 0.9158 | 0.9158 | 0.9092 | |
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| 0.2862 | 4.0 | 1220 | 0.3772 | 0.9198 | 0.9198 | 0.9198 | 0.9193 | |
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| 0.1724 | 5.0 | 1525 | 0.3306 | 0.9274 | 0.9259 | 0.9259 | 0.9261 | |
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| 0.1235 | 6.0 | 1830 | 0.3763 | 0.9214 | 0.9158 | 0.9158 | 0.9171 | |
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| 0.0902 | 7.0 | 2135 | 0.3808 | 0.9229 | 0.9218 | 0.9218 | 0.9219 | |
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| 0.0644 | 8.0 | 2440 | 0.3974 | 0.9229 | 0.9218 | 0.9218 | 0.9220 | |
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| 0.0575 | 9.0 | 2745 | 0.3930 | 0.9224 | 0.9218 | 0.9218 | 0.9218 | |
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| 0.0483 | 10.0 | 3050 | 0.4081 | 0.9205 | 0.9198 | 0.9198 | 0.9199 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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