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DanJoshua/
profesor_MViT_O_RWF2000

Name: profesor_MViT_O_RWF2000
Availability: InStock

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profesor_MViT_O_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: 225
training_steps: 2250
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.4841	2.0324	225	0.3886	0.8947	0.8947	0.8947	0.8947	0.9512
0.2697	5.0311	450	0.2617	0.9158	0.9157	0.9175	0.9158	0.9655
0.1796	8.0298	675	0.2392	0.9184	0.9184	0.9190	0.9184	0.9725
0.1444	11.0284	900	0.2590	0.9184	0.9184	0.9187	0.9184	0.9755
0.1296	14.0271	1125	0.2587	0.9211	0.9210	0.9218	0.9211	0.9738
0.0952	17.0258	1350	0.2924	0.9211	0.9208	0.9258	0.9211	0.9719
0.1148	20.0244	1575	0.2497	0.9263	0.9263	0.9264	0.9263	0.9777
0.0969	23.0231	1800	0.2806	0.9289	0.9289	0.9304	0.9289	0.9775
0.0696	26.0218	2025	0.3203	0.9263	0.9263	0.9267	0.9263	0.9771
0.0915	29.0204	2250	0.3062	0.9263	0.9263	0.9263	0.9263	0.9740