petro-daemon

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volvoDon/petro-daemon

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on a DataSet of petrologic cross sections. It achieves the following results on the evaluation set:

• Train Loss: 0.8890
• Validation Loss: 1.1803
• Train Accuracy: 0.6
• Epoch: 19

Model description

More information needed

Intended uses & limitations

Currently it is just a proof of concept and does a great job identifiying Olivine It currently is not ready for a production enviroment but the results are promising, with an improved dataset I'm confident better results could be acheived.

Training hyperparameters

The following hyperparameters were used during training:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Framework versions

• Transformers 4.32.1
• TensorFlow 2.12.0
• Datasets 2.14.4
• Tokenizers 0.13.3