deit-tiny-distilled-patch16-224emotion_model_6feats_big

This model is a fine-tuned version of facebook/deit-tiny-distilled-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Weighted f1	Micro f1	Macro f1	Weighted recall	Micro recall	Macro recall
0.4869	1.0	276	0.4196	0.7942	0.7928	0.7942	0.7928	0.7942	0.7942	0.7942
0.3648	2.0	552	0.4001	0.8096	0.8093	0.8096	0.8093	0.8096	0.8096	0.8096
0.2675	3.0	828	0.4270	0.8114	0.8113	0.8114	0.8113	0.8114	0.8114	0.8114
0.1695	4.0	1104	0.4587	0.8223	0.8220	0.8223	0.8220	0.8223	0.8223	0.8223
0.0846	5.0	1380	0.6492	0.8119	0.8117	0.8119	0.8117	0.8119	0.8119	0.8119
0.0446	6.0	1656	0.8108	0.8128	0.8127	0.8128	0.8127	0.8128	0.8128	0.8128
0.0207	7.0	1932	1.1396	0.8110	0.8108	0.8110	0.8108	0.8110	0.8110	0.8110
0.0076	8.0	2208	1.2264	0.8128	0.8125	0.8128	0.8125	0.8128	0.8128	0.8128
0.0023	9.0	2484	1.2867	0.8164	0.8164	0.8164	0.8164	0.8164	0.8164	0.8164
0.0013	10.0	2760	1.3145	0.8196	0.8196	0.8196	0.8196	0.8196	0.8196	0.8196