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DanJoshua/
profesor_MViT_O_RLVS

Name: profesor_MViT_O_RLVS
Availability: InStock

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profesor_MViT_O_RLVS

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: 237
training_steps: 2370
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.4418	2.0325	237	0.2877	0.9464	0.9464	0.9477	0.9464	0.9917
0.1303	5.0312	474	0.1071	0.9705	0.9705	0.9709	0.9705	0.9984
0.0767	8.0300	711	0.0454	0.9946	0.9946	0.9946	0.9946	0.9998
0.0628	11.0287	948	0.0341	0.9946	0.9946	0.9947	0.9946	0.9994
0.0381	14.0274	1185	0.0157	0.9973	0.9973	0.9973	0.9973	1.0
0.0328	17.0262	1422	0.0202	0.9946	0.9946	0.9947	0.9946	0.9999
0.0276	20.0249	1659	0.0447	0.9866	0.9866	0.9869	0.9866	1.0000
0.0497	23.0236	1896	0.0289	0.9946	0.9946	0.9947	0.9946	0.9997