You can deploy this model and start earning money today!

rbenrejeb/
vit-Facial-Expression-Recognition

Name: vit-Facial-Expression-Recognition
Availability: InStock

Views

No views yet

vit-Facial-Expression-Recognition

This model is a fine-tuned version of motheecreator/vit-Facial-Expression-Recognition on the None dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5752	0.2164	100	0.3737	0.8740
0.568	0.4328	200	0.3759	0.8720
0.551	0.6492	300	0.3722	0.8734
0.5604	0.8656	400	0.3747	0.8733
0.5391	1.0820	500	0.3720	0.8732
0.5751	1.2984	600	0.3761	0.8718
0.5678	1.5147	700	0.3824	0.8691
0.5493	1.7311	800	0.3870	0.8672
0.5766	1.9475	900	0.3942	0.8629
0.5301	2.1639	1000	0.3947	0.8639
0.5092	2.3803	1100	0.3896	0.8656
0.5164	2.5967	1200	0.3778	0.8703
0.4971	2.8131	1300	0.3731	0.8730