---
license: other
tags:
- generated_from_keras_callback
model-index:
- name: Xanadu00/galaxy_classifier_mobilevit_2
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Xanadu00/galaxy_classifier_mobilevit_2

This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1727
- Train Accuracy: 0.9423
- Validation Loss: 0.4766
- Validation Accuracy: 0.8565
- Epoch: 17

## 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': 0.004, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.9904     | 0.6535         | 0.7897          | 0.7269              | 0     |
| 0.6759     | 0.7662         | 0.5772          | 0.8030              | 1     |
| 0.5845     | 0.7979         | 0.5967          | 0.8010              | 2     |
| 0.5166     | 0.8232         | 0.5613          | 0.8030              | 3     |
| 0.4819     | 0.8330         | 0.5049          | 0.8253              | 4     |
| 0.4432     | 0.8516         | 0.5894          | 0.7993              | 5     |
| 0.4113     | 0.8580         | 0.4722          | 0.8354              | 6     |
| 0.3802     | 0.8704         | 0.4730          | 0.8444              | 7     |
| 0.3529     | 0.8750         | 0.4391          | 0.8543              | 8     |
| 0.3255     | 0.8836         | 0.4380          | 0.8563              | 9     |
| 0.3053     | 0.8953         | 0.4468          | 0.8532              | 10    |
| 0.2821     | 0.9027         | 0.5082          | 0.8368              | 11    |
| 0.2690     | 0.9071         | 0.4380          | 0.8588              | 12    |
| 0.2460     | 0.9132         | 0.4668          | 0.8540              | 13    |
| 0.2184     | 0.9247         | 0.4684          | 0.8557              | 14    |
| 0.2017     | 0.9273         | 0.4880          | 0.8546              | 15    |
| 0.1930     | 0.9311         | 0.4934          | 0.8582              | 16    |
| 0.1727     | 0.9423         | 0.4766          | 0.8565              | 17    |


### Framework versions

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