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# DownwardSpiral33/hands_palms_classifier_rot05

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2725
- Validation Loss: 0.7215
- Train Accuracy: 0.6452
- Epoch: 49

## 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': 'Adam', 'weight_decay': None, '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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 17400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6940     | 0.6722          | 0.6452         | 0     |
| 0.6734     | 0.6654          | 0.6774         | 1     |
| 0.6634     | 0.6553          | 0.6129         | 2     |
| 0.6528     | 0.6480          | 0.6452         | 3     |
| 0.6427     | 0.6381          | 0.6774         | 4     |
| 0.6414     | 0.6328          | 0.6452         | 5     |
| 0.6316     | 0.6175          | 0.6452         | 6     |
| 0.6188     | 0.6099          | 0.6452         | 7     |
| 0.6070     | 0.6181          | 0.6774         | 8     |
| 0.5993     | 0.5951          | 0.7097         | 9     |
| 0.5909     | 0.5870          | 0.6774         | 10    |
| 0.5660     | 0.5902          | 0.6452         | 11    |
| 0.5515     | 0.5760          | 0.7097         | 12    |
| 0.5467     | 0.5913          | 0.6452         | 13    |
| 0.5643     | 0.5774          | 0.6774         | 14    |
| 0.5357     | 0.5886          | 0.6452         | 15    |
| 0.5540     | 0.6036          | 0.5806         | 16    |
| 0.5341     | 0.6159          | 0.6452         | 17    |
| 0.5152     | 0.6196          | 0.6129         | 18    |
| 0.4888     | 0.6006          | 0.6774         | 19    |
| 0.4875     | 0.6258          | 0.6129         | 20    |
| 0.4867     | 0.6067          | 0.6452         | 21    |
| 0.4704     | 0.6103          | 0.6774         | 22    |
| 0.4622     | 0.6003          | 0.6452         | 23    |
| 0.4543     | 0.5887          | 0.7097         | 24    |
| 0.4429     | 0.6178          | 0.6452         | 25    |
| 0.4749     | 0.6121          | 0.6129         | 26    |
| 0.4563     | 0.6078          | 0.6774         | 27    |
| 0.4575     | 0.5907          | 0.6452         | 28    |
| 0.3904     | 0.6065          | 0.6129         | 29    |
| 0.3995     | 0.5764          | 0.6774         | 30    |
| 0.3812     | 0.6734          | 0.6774         | 31    |
| 0.3856     | 0.6401          | 0.6452         | 32    |
| 0.3836     | 0.5864          | 0.7097         | 33    |
| 0.3492     | 0.7021          | 0.6774         | 34    |
| 0.3552     | 0.6631          | 0.6129         | 35    |
| 0.3563     | 0.6562          | 0.6129         | 36    |
| 0.3509     | 0.6478          | 0.6452         | 37    |
| 0.3295     | 0.6542          | 0.6774         | 38    |
| 0.3410     | 0.7032          | 0.6774         | 39    |
| 0.3667     | 0.6745          | 0.6452         | 40    |
| 0.3150     | 0.6722          | 0.6452         | 41    |
| 0.2850     | 0.7127          | 0.6774         | 42    |
| 0.2870     | 0.6772          | 0.6774         | 43    |
| 0.2771     | 0.6791          | 0.6452         | 44    |
| 0.2870     | 0.7545          | 0.6129         | 45    |
| 0.2455     | 0.6546          | 0.7097         | 46    |
| 0.2586     | 0.6806          | 0.6774         | 47    |
| 0.2624     | 0.7524          | 0.7097         | 48    |
| 0.2725     | 0.7215          | 0.6452         | 49    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "DownwardSpiral33/hands_palms_classifier_rot05", "results": []}]}
transformers tf vit image-classification generated_from_keras_callback base_model:google/vit-base-patch16-224-in21k license:apache-2.0 autotrain_compatible endpoints_compatible region:us