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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/muril-base-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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- precision |
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- recall |
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model-index: |
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- name: nepali-grammar-20250304_1523 |
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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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# nepali-grammar-20250304_1523 |
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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: 0.2026 |
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- Accuracy: 0.9301 |
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- F1: 0.9274 |
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- Precision: 0.9637 |
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- Recall: 0.8938 |
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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: 3e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- optimizer: Use adamw_torch_fused 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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.2193 | 1.0 | 14942 | 0.2048 | 0.9236 | 0.9205 | 0.9584 | 0.8855 | |
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| 0.1789 | 2.0 | 29884 | 0.1992 | 0.9288 | 0.9257 | 0.9677 | 0.8872 | |
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| 0.1536 | 2.9998 | 44823 | 0.2026 | 0.9301 | 0.9274 | 0.9637 | 0.8938 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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