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vit-base-patch16-224-in21k-finetuned-FER2013
jalaneunos/vit-base-patch16-224-in21k-finetuned-FER2013
vit-base-patch16-224-in21k-finetuned-FER2013 is a image classification model from jalaneunos. 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
- vit
- Access
- Public
- Created
- Jan 24, 2024
- Updated
- Mar 16, 2024
- SHA
- 09d6b7de
Base models
Datasets
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. -->
vit-base-patch16-224-in21k-finetuned-FER2013
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3264
- Accuracy: 0.8732
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4811 | 1.0 | 202 | 0.4315 | 0.8004 |
| 0.4287 | 2.0 | 404 | 0.3579 | 0.8433 |
| 0.4184 | 3.0 | 606 | 0.3517 | 0.8467 |
| 0.3931 | 4.0 | 808 | 0.3308 | 0.8555 |
| 0.3667 | 5.0 | 1010 | 0.3204 | 0.8610 |
| 0.3545 | 6.0 | 1212 | 0.3144 | 0.8659 |
| 0.3137 | 7.0 | 1414 | 0.3308 | 0.8642 |
| 0.3178 | 8.0 | 1616 | 0.3230 | 0.8645 |
| 0.2998 | 9.0 | 1818 | 0.3206 | 0.8708 |
| 0.2773 | 10.0 | 2020 | 0.3264 | 0.8732 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jan 24, 2024
- Updated
- Mar 16, 2024