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--- |
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library_name: transformers |
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language: |
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- np |
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license: mit |
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base_model: Sakonii/deberta-base-nepali |
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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-BERT-devangari-sentiment |
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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-BERT-devangari-sentiment |
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This model is a fine-tuned version of [Sakonii/deberta-base-nepali](https://huggingface.co/Sakonii/deberta-base-nepali) on the Custom Devangari Datasets dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6662 |
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- Accuracy: 0.8710 |
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- F1: 0.5130 |
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- Precision: 0.4571 |
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- Recall: 0.5844 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 4 |
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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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| 0.6046 | 1.0 | 1189 | 0.5267 | 0.8167 | 0.4543 | 0.3475 | 0.6561 | |
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| 0.4952 | 2.0 | 2378 | 0.5396 | 0.8518 | 0.5025 | 0.4122 | 0.6435 | |
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| 0.412 | 3.0 | 3567 | 0.5733 | 0.8656 | 0.5098 | 0.4425 | 0.6013 | |
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| 0.3406 | 4.0 | 4756 | 0.6662 | 0.8710 | 0.5130 | 0.4571 | 0.5844 | |
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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 3.0.2 |
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- Tokenizers 0.19.1 |
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