SCUTFVD-resnet50-fold02 – AI Model by the-clueless-classifier | AlphaNeural AI

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the-clueless-classifier/
SCUTFVD-resnet50-fold02

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image-classification

generated_from_trainer

microsoft/resnet-50

endpoints_compatible

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SCUTFVD-resnet50-fold02

This model is a fine-tuned version of microsoft/resnet-50 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2553
Accuracy: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

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: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.3939	1.0	75	3.5459	0.8125
2.6004	2.0	150	2.7319	0.75
2.1055	3.0	225	2.5355	0.6875
1.5796	4.0	300	1.8482	0.9688
1.3936	5.0	375	2.8199	0.5312
1.2338	6.0	450	1.6173	0.8438
0.9104	7.0	525	1.2332	0.9688
0.8993	8.0	600	0.5451	1.0
0.7933	9.0	675	0.9290	1.0
0.7451	10.0	750	0.2553	1.0

Framework versions

Transformers 5.1.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2