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myvillage-mindset-classifier
Ayodelesamuel1/myvillage-mindset-classifier
myvillage-mindset-classifier is a text classification model from Ayodelesamuel1. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 15, 2026
- SHA
- be670b89
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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. -->
mindset-classifier
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7294
- Accuracy: 0.8071
- F1 Macro: 0.7298
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 | F1 Macro |
|---|---|---|---|---|---|
| 1.2306 | 1.0 | 90 | 1.1235 | 0.6575 | 0.1946 |
| 0.7852 | 2.0 | 180 | 0.8658 | 0.7244 | 0.4330 |
| 0.6425 | 3.0 | 270 | 0.7254 | 0.7598 | 0.5470 |
| 0.4309 | 4.0 | 360 | 0.6822 | 0.7874 | 0.6720 |
| 0.3383 | 5.0 | 450 | 0.6992 | 0.7677 | 0.6462 |
| 0.1548 | 6.0 | 540 | 0.6856 | 0.7913 | 0.6907 |
| 0.1803 | 7.0 | 630 | 0.7182 | 0.8071 | 0.7409 |
| 0.1551 | 8.0 | 720 | 0.6997 | 0.8150 | 0.7304 |
| 0.0466 | 9.0 | 810 | 0.7162 | 0.8071 | 0.7221 |
| 0.0887 | 10.0 | 900 | 0.7294 | 0.8071 | 0.7298 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 11, 2026
- Updated
- Apr 15, 2026