amiguel/cmm560_surface_corrosion_classifier

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0340
• Validation Loss: 0.0958
• Train Accuracy: 0.9731
• Epoch: 14

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': 3e-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	Train Accuracy	Epoch
0.3646	0.2100	0.8879	0
0.1923	0.1380	0.9731	1
0.1445	0.1082	0.9731	2
0.1066	0.0847	0.9776	3
0.0779	0.0656	0.9731	4
0.0758	0.0658	0.9776	5
0.0892	0.0499	0.9821	6
0.0701	0.1073	0.9731	7
0.0656	0.0655	0.9686	8
0.0527	0.0578	0.9776	9
0.0731	0.1136	0.9462	10
0.0508	0.0830	0.9641	11
0.0453	0.0762	0.9731	12
0.0541	0.0821	0.9686	13
0.0340	0.0958	0.9731	14

Framework versions

• Transformers 4.42.4
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1