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mhcd-custom-mentalbert
Somu1045/mhcd-custom-mentalbert
mhcd-custom-mentalbert is a text classification model from Somu1045. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Sep 5, 2026
- SHA
- 1ca27d76
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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. -->
mhcd-custom-mentalbert
This model is a fine-tuned version of mental/mental-bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5873
- Accuracy: 0.7782
- F1: 0.8231
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: 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5844 | 1.0 | 1350 | 0.5818 | 0.7716 | 0.8191 |
| 0.4907 | 2.0 | 2700 | 0.5697 | 0.7762 | 0.8200 |
| 0.4134 | 3.0 | 4050 | 0.5873 | 0.7782 | 0.8231 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.23.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-nc-4.0
- Created
- Aug 15, 2026
- Updated
- Sep 5, 2026