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arabert-base-argmin-argdet-sent
JosephYAA/arabert-base-argmin-argdet-sent
arabert-base-argmin-argdet-sent is a text classification model from JosephYAA. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 9, 2025
- Updated
- Mar 11, 2025
- SHA
- 73765ec3
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Base models
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-base-argmin-argdet-sent
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3171
- F1: 0.6573
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: 16
- eval_batch_size: 16
- seed: 3407
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.4874 | 0.1567 | 50 | 0.5096 | 0.4521 |
| 0.4504 | 0.3135 | 100 | 0.4247 | 0.4333 |
| 0.4445 | 0.4702 | 150 | 0.3944 | 0.4560 |
| 0.3876 | 0.6270 | 200 | 0.3705 | 0.5248 |
| 0.3644 | 0.7837 | 250 | 0.4093 | 0.4787 |
| 0.3671 | 0.9404 | 300 | 0.3695 | 0.5158 |
| 0.3474 | 1.0972 | 350 | 0.3388 | 0.6583 |
| 0.292 | 1.2539 | 400 | 0.3661 | 0.6393 |
| 0.3209 | 1.4107 | 450 | 0.3504 | 0.6519 |
| 0.3007 | 1.5674 | 500 | 0.3370 | 0.6747 |
| 0.3298 | 1.7241 | 550 | 0.3278 | 0.6855 |
| 0.3181 | 1.8809 | 600 | 0.3452 | 0.6432 |
| 0.2428 | 2.0376 | 650 | 0.3531 | 0.6776 |
| 0.2089 | 2.1944 | 700 | 0.4433 | 0.6621 |
| 0.2568 | 2.3511 | 750 | 0.3727 | 0.6406 |
| 0.2415 | 2.5078 | 800 | 0.4443 | 0.6267 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 9, 2025
- Updated
- Mar 11, 2025