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Qarib_concatenatewithPrompttrainval_2e-fold2
aomar85/Qarib_concatenatewithPrompttrainval_2e-fold2
Qarib_concatenatewithPrompttrainval_2e-fold2 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
- e8ca57dc
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. -->
Qarib_concatenatewithPrompttrainval_2e-fold2
This model is a fine-tuned version of ahmedabdelali/bert-base-qarib on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5135
- Accuracy: 0.8225
- Macro F1: 0.8226
- Weighted F1: 0.8229
- F1 Pro: 0.8350
- F1 Against: 0.8209
- F1 Neutral: 0.8119
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: 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 | F1 Pro | F1 Against | F1 Neutral |
|---|---|---|---|---|---|---|---|---|---|
| 0.9950 | 1.1628 | 50 | 0.7610 | 0.6509 | 0.6458 | 0.6439 | 0.7103 | 0.5652 | 0.6619 |
| 0.5982 | 2.3256 | 100 | 0.5135 | 0.8225 | 0.8226 | 0.8229 | 0.8350 | 0.8209 | 0.8119 |
| 0.3156 | 3.4884 | 150 | 0.6339 | 0.7929 | 0.7915 | 0.7921 | 0.7835 | 0.8092 | 0.7818 |
| 0.1460 | 4.6512 | 200 | 0.7995 | 0.7929 | 0.7890 | 0.7905 | 0.8108 | 0.8088 | 0.7473 |
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