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MinhLe999/
Blurry-classifier-efformer-v1

Name: Blurry-classifier-efformer-v1
Availability: InStock

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Blurry-classifier-efformer-v1

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
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: cosine
num_epochs: 4
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
0.0495	0.5102	200	0.0473	0.983	0.9832	0.9832	0.9830	0.9994
0.0444	1.0204	400	0.0311	0.9902	0.9903	0.9902	0.9902	0.9995
0.0065	1.5306	600	0.0256	0.993	0.9930	0.9930	0.9930	0.9997
0.0071	2.0408	800	0.0326	0.9935	0.9935	0.9935	0.9935	0.9996
0.0039	2.5510	1000	0.0289	0.9935	0.9935	0.9935	0.9935	0.9998
0.0004	3.0612	1200	0.0252	0.994	0.9940	0.9940	0.9940	0.9999
0.0003	3.5714	1400	0.0282	0.9938	0.9937	0.9938	0.9937	0.9999