SaladSlayer00/twin_matcher

This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0494
• Validation Loss: 0.9150
• Validation Accuracy: 0.7791
• Epoch: 8

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0005, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Validation Accuracy	Epoch
4.3094	2.8494	0.2653	0
1.9389	1.6614	0.5538	1
0.8892	1.1064	0.7059	2
0.4021	0.9831	0.7336	3
0.2010	0.8325	0.7814	4
0.1096	0.8393	0.7758	5
0.0681	0.8437	0.7880	6
0.0543	0.8610	0.7658	7
0.0494	0.9150	0.7791	8

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0