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AraBERT_AraiEval24_token_classification_Ara_filt_multi_fixed
MM2157/AraBERT_AraiEval24_token_classification_Ara_filt_multi_fixed
AraBERT_AraiEval24_token_classification_Ara_filt_multi_fixed is a machine learning model from MM2157. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 5be1efdc
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. -->
AraBERT_AraiEval24_token_classification_Ara_filt_multi_fixed
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3581
- Precision: 0.0995
- Recall: 0.0740
- F1: 0.0848
- Accuracy: 0.6926
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.233 | 1.0 | 931 | 1.2878 | 0.0 | 0.0 | 0.0 | 0.7332 |
| 1.0345 | 2.0 | 1862 | 1.2386 | 0.1308 | 0.0078 | 0.0147 | 0.7341 |
| 0.9322 | 3.0 | 2793 | 1.2153 | 0.0965 | 0.0280 | 0.0434 | 0.7272 |
| 0.8094 | 4.0 | 3724 | 1.2236 | 0.0889 | 0.0372 | 0.0525 | 0.7105 |
| 0.7621 | 5.0 | 4655 | 1.2493 | 0.1348 | 0.0418 | 0.0638 | 0.7219 |
| 0.6962 | 6.0 | 5586 | 1.2861 | 0.1008 | 0.0675 | 0.0809 | 0.7016 |
| 0.6488 | 7.0 | 6517 | 1.3041 | 0.1083 | 0.0638 | 0.0803 | 0.7024 |
| 0.5676 | 8.0 | 7448 | 1.3223 | 0.1030 | 0.0661 | 0.0806 | 0.7023 |
| 0.5485 | 9.0 | 8379 | 1.3560 | 0.1135 | 0.0698 | 0.0865 | 0.7022 |
| 0.523 | 10.0 | 9310 | 1.3581 | 0.0995 | 0.0740 | 0.0848 | 0.6926 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024