beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013CKPlus-7e-05-4-64
This model is a fine-tuned version of Celal11/beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013CKPlus-7e-05 on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.8708
- Accuracy: 0.7201
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: 7e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5721 | 1.0 | 112 | 0.9867 | 0.7052 |
0.6816 | 2.0 | 224 | 0.9131 | 0.7062 |
0.6785 | 3.0 | 336 | 0.8935 | 0.7091 |
0.6251 | 4.0 | 448 | 0.8708 | 0.7201 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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