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MinhLe999/
mobilenetv3-HandwritingStrip-v4

Name: mobilenetv3-HandwritingStrip-v4
Availability: InStock

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mobilenetv3-blur-detection-v5

This model is a fine-tuned version of MinhLe999/mobilenetv3-HandwritingStrip-RandImg on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 64
eval_batch_size: 64
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: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
0.7730	0.1351	10	1.1284	0.6480	0.9545	0.1700	0.2887	0.8624
0.1923	0.2703	20	0.3407	0.8367	0.9521	0.6437	0.7681	0.9664
0.1820	0.4054	30	0.3023	0.8844	0.9786	0.7409	0.8433	0.9791
0.1312	0.5405	40	0.3490	0.8554	0.9602	0.6842	0.7991	0.9785
0.1255	0.6757	50	0.1542	0.9541	0.9583	0.9312	0.9446	0.9894
0.1228	0.8108	60	0.1174	0.9592	0.9705	0.9312	0.9504	0.9920
0.0987	0.9459	70	0.1086	0.9626	0.9747	0.9352	0.9545	0.9937
0.0588	1.0811	80	0.0905	0.9677	0.9634	0.9595	0.9615	0.9947
0.0577	1.2162	90	0.1384	0.9507	0.9739	0.9069	0.9392	0.9910
0.0517	1.3514	100	0.0825	0.9694	0.9598	0.9676	0.9637	0.9961
0.0580	1.4865	110	0.1075	0.9626	0.9310	0.9838	0.9567	0.9963
0.0556	1.6216	120	0.1019	0.9660	0.9486	0.9717	0.96	0.9959
0.0801	1.7568	130	0.0883	0.9677	0.9597	0.9636	0.9616	0.9957
0.0404	1.8919	140	0.0907	0.9660	0.9522	0.9676	0.9598	0.9950
0.0442	2.0270	150	0.0755	0.9711	0.9637	0.9676	0.9657	0.9962
0.0213	2.1622	160	0.0734	0.9762	0.9755	0.9676	0.9715	0.9963
0.0223	2.2973	170	0.0782	0.9762	0.9755	0.9676	0.9715	0.9962
0.0220	2.4324	180	0.0838	0.9762	0.9717	0.9717	0.9717	0.9960
0.0195	2.5676	190	0.0857	0.9745	0.9677	0.9717	0.9697	0.9958
0.0134	2.7027	200	0.0822	0.9745	0.9677	0.9717	0.9697	0.9961
0.0302	2.8378	210	0.0823	0.9762	0.9717	0.9717	0.9717	0.9960
0.0215	2.9730	220	0.0821	0.9762	0.9717	0.9717	0.9717	0.9960