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Twitter_concatenatewithPrompttrainval-fold4
aomar85/Twitter_concatenatewithPrompttrainval-fold4
Twitter_concatenatewithPrompttrainval-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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026
- SHA
- 57aa6e5f
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_concatenatewithPrompttrainval-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: 0.3952
- Accuracy: 0.875
- Macro F1: 0.8733
- Weighted F1: 0.8746
- F1 Pro: 0.9123
- F1 Against: 0.8760
- F1 Neutral: 0.8317
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.9326 | 1.1628 | 50 | 0.5759 | 0.7798 | 0.7792 | 0.7787 | 0.8305 | 0.7304 | 0.7767 |
| 0.5335 | 2.3256 | 100 | 0.4192 | 0.8333 | 0.8332 | 0.8335 | 0.8571 | 0.8226 | 0.82 |
| 0.3503 | 3.4884 | 150 | 0.4169 | 0.8452 | 0.8439 | 0.8449 | 0.8929 | 0.8346 | 0.8041 |
| 0.2399 | 4.6512 | 200 | 0.3952 | 0.875 | 0.8733 | 0.8746 | 0.9123 | 0.8760 | 0.8317 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026