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inginjadibuparto/
image_card_classification

Name: image_card_classification
Availability: InStock

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image_card_classification

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: 0.002
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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 Loss	Epoch	Step	Validation Loss	Accuracy
1.1788	1.0	239	1.0625	0.6642
0.6503	2.0	478	0.5765	0.8189
0.3521	3.0	717	0.2616	0.9283
0.2932	4.0	956	0.1590	0.9623
0.1946	5.0	1195	0.1537	0.9774
0.1644	6.0	1434	0.1106	0.9774
0.0438	7.0	1673	0.0697	0.9811
0.0113	8.0	1912	0.0612	0.9925
0.0073	9.0	2151	0.0657	0.9887
0.0105	10.0	2390	0.0550	0.9925