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DanJoshua/
profesor_MViT_S_RWF2000

Name: profesor_MViT_S_RWF2000
Availability: InStock

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profesor_MViT_S_RWF2000

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 20
eval_batch_size: 20
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 240
training_steps: 2400
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.4986	2.0333	240	0.3695	0.9075	0.9075	0.9080	0.9075	0.9649
0.2786	5.0333	480	0.2486	0.915	0.9150	0.9152	0.915	0.9791
0.1896	8.0333	720	0.2303	0.92	0.9200	0.9204	0.92	0.9804
0.1882	11.0333	960	0.2339	0.9175	0.9175	0.9178	0.9175	0.9801
0.1381	14.0333	1200	0.2263	0.93	0.9300	0.9304	0.93	0.9807
0.1401	17.0333	1440	0.2477	0.9275	0.9275	0.9280	0.9275	0.9795
0.1016	20.0333	1680	0.2504	0.925	0.9250	0.9257	0.925	0.9819
0.1106	23.0333	1920	0.2722	0.93	0.9300	0.9304	0.93	0.9812