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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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- f1 |
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- accuracy |
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model-index: |
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- name: punjabi-muril-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-muril-ner |
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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: 0.0831 |
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- Precision: 0.7350 |
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- Recall: 0.7591 |
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- F1: 0.7469 |
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- Accuracy: 0.9843 |
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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: 5 |
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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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| 0.3465 | 1.0 | 1613 | 0.2747 | 0.0 | 0.0 | 0.0 | 0.9551 | |
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| 0.1642 | 2.0 | 3226 | 0.1273 | 0.6436 | 0.5216 | 0.5762 | 0.9758 | |
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| 0.1053 | 3.0 | 4839 | 0.0986 | 0.7257 | 0.7156 | 0.7206 | 0.9824 | |
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| 0.0863 | 4.0 | 6452 | 0.0854 | 0.7166 | 0.7620 | 0.7386 | 0.9837 | |
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| 0.0705 | 5.0 | 8065 | 0.0831 | 0.7350 | 0.7591 | 0.7469 | 0.9843 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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