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hadith-finetuned-ner1
AhmedTaha012/hadith-finetuned-ner1
hadith-finetuned-ner1 is a token classification model from AhmedTaha012. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023
- SHA
- 5d593982
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
hadith-finetuned-ner1
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1736
- Precision: 0.8899
- Recall: 0.9567
- F1: 0.9221
- Accuracy: 0.9441
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4895 | 1.0 | 468 | 0.4531 | 0.7392 | 0.8430 | 0.7877 | 0.8436 |
| 0.2379 | 2.0 | 937 | 0.2704 | 0.8371 | 0.9105 | 0.8723 | 0.9095 |
| 0.2792 | 3.0 | 1405 | 0.2122 | 0.8652 | 0.9429 | 0.9024 | 0.9302 |
| 0.1943 | 4.0 | 1874 | 0.1901 | 0.8769 | 0.9524 | 0.9131 | 0.9378 |
| 0.2443 | 4.99 | 2340 | 0.1736 | 0.8899 | 0.9567 | 0.9221 | 0.9441 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023