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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: urdu-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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# urdu-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: 0.1489 |
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- Precision: 0.7802 |
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- Recall: 0.8229 |
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- F1: 0.8009 |
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- Accuracy: 0.9570 |
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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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| 0.3946 | 1.0 | 2272 | 0.3188 | 0.7387 | 0.6442 | 0.6882 | 0.9350 | |
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| 0.2026 | 2.0 | 4544 | 0.1960 | 0.7728 | 0.7797 | 0.7762 | 0.9535 | |
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| 0.141 | 3.0 | 6816 | 0.1554 | 0.7735 | 0.8139 | 0.7932 | 0.9557 | |
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| 0.1038 | 4.0 | 9088 | 0.1474 | 0.7836 | 0.8163 | 0.7996 | 0.9568 | |
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| 0.0889 | 5.0 | 11360 | 0.1489 | 0.7802 | 0.8229 | 0.8009 | 0.9570 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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