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deit-tiny-distilled-patch16-224emotion_model_4feats_deit
Ganaa614/deit-tiny-distilled-patch16-224emotion_model_4feats_deit
deit-tiny-distilled-patch16-224emotion_model_4feats_deit is a image classification model from Ganaa614. Use it when you need a label for an image. 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
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- deit
- Access
- Public
- Created
- Nov 2, 2025
- Updated
- Nov 2, 2025
- SHA
- 7dad9cca
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. -->
deit-tiny-distilled-patch16-224emotion_model_4feats_deit
This model is a fine-tuned version of facebook/deit-tiny-distilled-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8054
- Accuracy: 0.8812
- Weighted f1: 0.8812
- Micro f1: 0.8812
- Macro f1: 0.8812
- Weighted recall: 0.8812
- Micro recall: 0.8812
- Macro recall: 0.8812
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.9336 | 1.0 | 501 | 0.7411 | 0.7165 | 0.7178 | 0.7165 | 0.7178 | 0.7165 | 0.7165 | 0.7165 |
| 0.6285 | 2.0 | 1002 | 0.6362 | 0.7538 | 0.7549 | 0.7538 | 0.7549 | 0.7538 | 0.7538 | 0.7538 |
| 0.4148 | 3.0 | 1503 | 0.5584 | 0.8063 | 0.8058 | 0.8063 | 0.8058 | 0.8063 | 0.8063 | 0.8063 |
| 0.2404 | 4.0 | 2004 | 0.5191 | 0.8442 | 0.8435 | 0.8442 | 0.8435 | 0.8442 | 0.8442 | 0.8442 |
| 0.1227 | 5.0 | 2505 | 0.5064 | 0.8665 | 0.8664 | 0.8665 | 0.8664 | 0.8665 | 0.8665 | 0.8665 |
| 0.0594 | 6.0 | 3006 | 0.6042 | 0.8652 | 0.8644 | 0.8652 | 0.8644 | 0.8652 | 0.8652 | 0.8652 |
| 0.029 | 7.0 | 3507 | 0.6712 | 0.8772 | 0.8771 | 0.8772 | 0.8771 | 0.8772 | 0.8772 | 0.8773 |
| 0.0116 | 8.0 | 4008 | 0.7661 | 0.876 | 0.8756 | 0.876 | 0.8756 | 0.876 | 0.876 | 0.876 |
| 0.0054 | 9.0 | 4509 | 0.7958 | 0.881 | 0.8811 | 0.881 | 0.8811 | 0.881 | 0.881 | 0.881 |
| 0.0034 | 10.0 | 5010 | 0.8054 | 0.8812 | 0.8812 | 0.8812 | 0.8812 | 0.8812 | 0.8812 | 0.8812 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- deit
- License
- apache-2.0
- Created
- Nov 2, 2025
- Updated
- Nov 2, 2025