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End of training
48b2040
metadata
license: other
tags:
  - generated_from_keras_callback
model-index:
  - name: Xanadu00/galaxy_classifier_mobilevit_3
    results: []

Xanadu00/galaxy_classifier_mobilevit_3

This model is a fine-tuned version of apple/mobilevit-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1914
  • Train Accuracy: 0.9341
  • Validation Loss: 0.5148
  • Validation Accuracy: 0.8512
  • Epoch: 16

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': 'AdamW', 'weight_decay': 0.01, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.002, 'decay_steps': 10000, 'decay_rate': 0.01, 'staircase': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
1.1049 0.6128 0.7422 0.7517 0
0.7149 0.7564 0.6376 0.7821 1
0.6080 0.7945 0.6947 0.7745 2
0.5376 0.8160 0.5589 0.8134 3
0.4977 0.8279 0.5458 0.8162 4
0.4564 0.8407 0.4799 0.8441 5
0.4271 0.8557 0.4765 0.8413 6
0.3957 0.8619 0.4790 0.8453 7
0.3701 0.8741 0.5376 0.8329 8
0.3425 0.8829 0.4359 0.8619 9
0.3192 0.8892 0.4475 0.8585 10
0.2972 0.8967 0.4143 0.8712 11
0.2691 0.9080 0.4819 0.8498 12
0.2445 0.9144 0.4543 0.8563 13
0.2261 0.9220 0.4221 0.8689 14
0.2127 0.9251 0.5076 0.8540 15
0.1914 0.9341 0.5148 0.8512 16

Framework versions

  • Transformers 4.30.2
  • TensorFlow 2.12.0
  • Datasets 2.13.1
  • Tokenizers 0.13.3