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--- |
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license: apache-2.0 |
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base_model: bert-base-multilingual-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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- f1 |
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- accuracy |
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model-index: |
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- name: punjabi-bert-ner |
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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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# punjabi-bert-ner |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an [punjabi-ner](https://huggingface.co/datasets/mirfan899/punjabi-ner) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0773 |
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- Precision: 0.7730 |
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- Recall: 0.7767 |
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- F1: 0.7748 |
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- Accuracy: 0.9794 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1001 | 1.0 | 1613 | 0.0792 | 0.7619 | 0.6539 | 0.7037 | 0.9752 | |
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| 0.0645 | 2.0 | 3226 | 0.0742 | 0.7684 | 0.7528 | 0.7605 | 0.9787 | |
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| 0.0397 | 3.0 | 4839 | 0.0773 | 0.7730 | 0.7767 | 0.7748 | 0.9794 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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