Downloads · 30 days
5
11% of all-time downloads
twitter_concatenate-fold4
aomar85/twitter_concatenate-fold4
twitter_concatenate-fold4 is a text classification model from aomar85. 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. --
All-time downloads
47
Public
Parameters
135M
2.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors541 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026
- SHA
- e98ca346
Try a prompt
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. -->
twitter_concatenate-fold4
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4138
- Accuracy: 0.8690
- Macro F1: 0.8686
- Weighted F1: 0.8687
- F1 Pro: 0.8966
- F1 Against: 0.8496
- F1 Neutral: 0.8598
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 | F1 Pro | F1 Against | F1 Neutral |
|---|---|---|---|---|---|---|---|---|---|
| 0.8965 | 1.1628 | 50 | 0.5408 | 0.7798 | 0.7775 | 0.7775 | 0.8430 | 0.7321 | 0.7573 |
| 0.5024 | 2.3256 | 100 | 0.4316 | 0.8631 | 0.8627 | 0.8626 | 0.8814 | 0.8468 | 0.8598 |
| 0.314 | 3.4884 | 150 | 0.4205 | 0.8274 | 0.8248 | 0.8261 | 0.8889 | 0.8099 | 0.7755 |
| 0.2136 | 4.6512 | 200 | 0.4138 | 0.8690 | 0.8686 | 0.8687 | 0.8966 | 0.8496 | 0.8598 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026