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muril_suicide_detection_final
Alamin2230/muril_suicide_detection_final
muril_suicide_detection_final is a text classification model from Alamin2230. 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
- Jun 28, 2026
- Updated
- Jun 28, 2026
- SHA
- 4067622f
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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. -->
muril_suicide_detection_final
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1370
- Accuracy: 0.9262
- F1: 0.9275
- Precision: 0.9032
- Recall: 0.9532
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0652 | 1.0 | 119 | 0.0203 | 0.9684 | 0.9676 | 0.9912 | 0.9451 |
| 0.0127 | 2.0 | 238 | 0.0250 | 0.9642 | 0.9631 | 0.9911 | 0.9367 |
| 0.0073 | 3.0 | 357 | 0.0250 | 0.9747 | 0.9742 | 0.9913 | 0.9578 |
| 0.0050 | 4.0 | 476 | 0.0248 | 0.9726 | 0.9720 | 0.9912 | 0.9536 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 28, 2026
- Updated
- Jun 28, 2026