This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.1143
Accuracy: 0.9676

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6402	1.0	1191	0.2600	0.9181
0.4323	2.0	2383	0.1492	0.9538
0.359	3.0	3573	0.1143	0.9676

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.12.0
Tokenizers 0.14.1

MahmoudWSegni/swin-tiny-patch4-window7-224-finetuned-face-emotion-v12

swin-tiny-patch4-window7-224-finetuned-face-emotion-v12

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MahmoudWSegni/
swin-tiny-patch4-window7-224-finetuned-face-emotion-v12