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carlosleao/
FER-Facial-Expression-Recognition

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

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FER-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:

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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 OptimizerNames.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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8868	0.8959	100	1.7638	0.5923
1.2277	1.7962	200	1.1092	0.7253
0.8414	2.6965	300	0.8105	0.8041
0.7076	3.5969	400	0.6746	0.8256
0.6079	4.4972	500	0.6111	0.8287
0.5624	5.3975	600	0.5529	0.8379
0.5254	6.2979	700	0.5266	0.8399
0.4784	7.1982	800	0.4978	0.8433
0.4634	8.0985	900	0.4844	0.8458
0.4305	8.9944	1000	0.4710	0.8474
0.3995	9.8947	1100	0.4381	0.8564