SaladSlayer00/new_model

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: 1.2935
• Validation Loss: 1.6986
• Validation Accuracy: 0.5619
• Epoch: 11

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': 5e-05, '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
7.0613	4.8451	0.0134	0
4.6529	4.5201	0.0658	1
4.3215	4.1158	0.0992	2
3.8808	3.6981	0.1806	3
3.4497	3.2741	0.2553	4
3.0361	2.9681	0.3177	5
2.6734	2.6529	0.3690	6
2.3306	2.3803	0.4091	7
2.0284	2.1731	0.4738	8
1.7542	1.9839	0.4883	9
1.5084	1.8335	0.5284	10
1.2935	1.6986	0.5619	11

Framework versions

• Transformers 4.36.2
• TensorFlow 2.15.0
• Datasets 2.16.0
• Tokenizers 0.15.0