Downloads · 30 days
6
22% of all-time downloads
AraBERT_token_classification_AraEval24_multi_new_labels_fixed
MM2157/AraBERT_token_classification_AraEval24_multi_new_labels_fixed
AraBERT_token_classification_AraEval24_multi_new_labels_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. --
All-time downloads
27
Public
Repo size
5.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin539 MB · 100%
At a glance
- Model type
- bert
- Access
- Public
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- e1792e87
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_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: 1.1811
- Precision: 0.1767
- Recall: 0.1320
- F1: 0.1511
- Accuracy: 0.7399
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 |
|---|---|---|---|---|---|---|---|
| 1.012 | 1.0 | 1495 | 1.0966 | 0.1625 | 0.0148 | 0.0271 | 0.7600 |
| 0.8985 | 2.0 | 2990 | 1.0592 | 0.2097 | 0.0258 | 0.0460 | 0.7613 |
| 0.8077 | 3.0 | 4485 | 1.0578 | 0.1754 | 0.0789 | 0.1088 | 0.7553 |
| 0.7204 | 4.0 | 5980 | 1.0731 | 0.1927 | 0.0690 | 0.1016 | 0.7559 |
| 0.6588 | 5.0 | 7475 | 1.1136 | 0.1658 | 0.0729 | 0.1013 | 0.7533 |
| 0.6286 | 6.0 | 8970 | 1.1303 | 0.1872 | 0.0888 | 0.1205 | 0.7522 |
| 0.5799 | 7.0 | 10465 | 1.1285 | 0.1944 | 0.1008 | 0.1327 | 0.7519 |
| 0.5378 | 8.0 | 11960 | 1.1317 | 0.1897 | 0.1507 | 0.1680 | 0.7432 |
| 0.536 | 9.0 | 13455 | 1.1854 | 0.1811 | 0.1050 | 0.1330 | 0.7482 |
| 0.5017 | 10.0 | 14950 | 1.1811 | 0.1767 | 0.1320 | 0.1511 | 0.7399 |
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