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AraBERT_token_classification_AraEval24_rand_trun_multi_fixed
MM2157/AraBERT_token_classification_AraEval24_rand_trun_multi_fixed
AraBERT_token_classification_AraEval24_rand_trun_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 15, 2024
- Updated
- Oct 15, 2024
- SHA
- 1f798fe0
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_token_classification_AraEval24_rand_trun_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: 4.0911
- Precision: 0.0588
- Recall: 0.1184
- F1: 0.0786
- Accuracy: 0.1794
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 |
|---|---|---|---|---|---|---|---|
| 1.5667 | 1.0 | 1534 | 2.2108 | 0.0351 | 0.0556 | 0.0430 | 0.2275 |
| 1.2795 | 2.0 | 3068 | 2.5072 | 0.0444 | 0.0745 | 0.0556 | 0.1989 |
| 1.0642 | 3.0 | 4602 | 2.5903 | 0.0598 | 0.0986 | 0.0745 | 0.2405 |
| 0.8661 | 4.0 | 6136 | 3.3476 | 0.0635 | 0.1145 | 0.0817 | 0.1784 |
| 0.6954 | 5.0 | 7670 | 3.6462 | 0.0611 | 0.1064 | 0.0776 | 0.1658 |
| 0.5748 | 6.0 | 9204 | 3.7515 | 0.0621 | 0.1181 | 0.0814 | 0.1714 |
| 0.4858 | 7.0 | 10738 | 3.7003 | 0.0621 | 0.1167 | 0.0811 | 0.1884 |
| 0.4276 | 8.0 | 12272 | 3.9753 | 0.0548 | 0.1103 | 0.0732 | 0.1768 |
| 0.3903 | 9.0 | 13806 | 4.1462 | 0.0577 | 0.1150 | 0.0768 | 0.1699 |
| 0.3339 | 10.0 | 15340 | 4.0911 | 0.0588 | 0.1184 | 0.0786 | 0.1794 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024