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AraBERT_token_classification_AraEval24_multi_new_labels_set3
MM2157/AraBERT_token_classification_AraEval24_multi_new_labels_set3
AraBERT_token_classification_AraEval24_multi_new_labels_set3 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 29, 2024
- Updated
- Oct 29, 2024
- SHA
- d56505ed
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_multi_new_labels_set3
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: 1.1600
- Precision: 0.1482
- Recall: 0.1141
- F1: 0.1289
- Accuracy: 0.7384
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 |
|---|---|---|---|---|---|---|---|
| 1.0108 | 1.0 | 1495 | 1.0929 | 0.0765 | 0.0079 | 0.0144 | 0.7607 |
| 0.9064 | 2.0 | 2990 | 1.0582 | 0.1143 | 0.0179 | 0.0309 | 0.7614 |
| 0.8157 | 3.0 | 4485 | 1.0556 | 0.1093 | 0.0491 | 0.0678 | 0.7564 |
| 0.7296 | 4.0 | 5980 | 1.0664 | 0.1579 | 0.0613 | 0.0883 | 0.7558 |
| 0.672 | 5.0 | 7475 | 1.0962 | 0.1332 | 0.0639 | 0.0863 | 0.7524 |
| 0.6413 | 6.0 | 8970 | 1.1111 | 0.1411 | 0.0710 | 0.0944 | 0.7511 |
| 0.5907 | 7.0 | 10465 | 1.1252 | 0.1549 | 0.0823 | 0.1075 | 0.7512 |
| 0.5522 | 8.0 | 11960 | 1.1166 | 0.1653 | 0.1266 | 0.1434 | 0.7426 |
| 0.5461 | 9.0 | 13455 | 1.1620 | 0.1533 | 0.0991 | 0.1204 | 0.7443 |
| 0.511 | 10.0 | 14950 | 1.1600 | 0.1482 | 0.1141 | 0.1289 | 0.7384 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 29, 2024
- Updated
- Oct 29, 2024