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AraBERT_token_class_AraEval24_n_dupl_new_labels_aug_18techs
MM2157/AraBERT_token_class_AraEval24_n_dupl_new_labels_aug_18techs
AraBERT_token_class_AraEval24_n_dupl_new_labels_aug_18techs 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 21, 2024
- Updated
- Oct 21, 2024
- SHA
- 5e500289
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_class_AraEval24_n_dupl_new_labels_aug_18techs
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: 1.6042
- Precision: 0.1430
- Recall: 0.1426
- F1: 0.1428
- Accuracy: 0.6883
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 |
|---|---|---|---|---|---|---|---|
| 1.3015 | 1.0 | 1148 | 1.3109 | 0.1064 | 0.0051 | 0.0097 | 0.7252 |
| 1.1292 | 2.0 | 2296 | 1.2286 | 0.1508 | 0.0507 | 0.0759 | 0.7170 |
| 0.9579 | 3.0 | 3444 | 1.2709 | 0.0926 | 0.0619 | 0.0742 | 0.6991 |
| 0.7756 | 4.0 | 4592 | 1.3161 | 0.1388 | 0.1015 | 0.1172 | 0.6898 |
| 0.6333 | 5.0 | 5740 | 1.4160 | 0.1448 | 0.1126 | 0.1267 | 0.6981 |
| 0.5291 | 6.0 | 6888 | 1.4341 | 0.1435 | 0.1375 | 0.1405 | 0.6909 |
| 0.4511 | 7.0 | 8036 | 1.5182 | 0.1466 | 0.1461 | 0.1464 | 0.6800 |
| 0.3927 | 8.0 | 9184 | 1.5591 | 0.1312 | 0.1446 | 0.1375 | 0.6773 |
| 0.3537 | 9.0 | 10332 | 1.6017 | 0.1450 | 0.1441 | 0.1445 | 0.6847 |
| 0.325 | 10.0 | 11480 | 1.6042 | 0.1430 | 0.1426 | 0.1428 | 0.6883 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024