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# DownwardSpiral33/hands_palms_classifier_wd

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: 0.3103
- Validation Loss: 0.6071
- Train Accuracy: 0.6774
- 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': 'AdamWeightDecay', '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}, '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

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6957     | 0.6682          | 0.5806         | 0     |
| 0.6842     | 0.6571          | 0.6452         | 1     |
| 0.6734     | 0.6509          | 0.6452         | 2     |
| 0.6644     | 0.6421          | 0.6452         | 3     |
| 0.6585     | 0.6328          | 0.6129         | 4     |
| 0.6490     | 0.6303          | 0.6452         | 5     |
| 0.6531     | 0.6279          | 0.7419         | 6     |
| 0.6381     | 0.6177          | 0.7419         | 7     |
| 0.6290     | 0.6110          | 0.6774         | 8     |
| 0.6220     | 0.6163          | 0.6774         | 9     |
| 0.6197     | 0.6053          | 0.7097         | 10    |
| 0.6127     | 0.6111          | 0.7097         | 11    |
| 0.6075     | 0.6126          | 0.7097         | 12    |
| 0.5984     | 0.5985          | 0.6774         | 13    |
| 0.5957     | 0.5833          | 0.7097         | 14    |
| 0.5927     | 0.5927          | 0.6129         | 15    |
| 0.5779     | 0.5764          | 0.7097         | 16    |
| 0.5609     | 0.5824          | 0.6452         | 17    |
| 0.5569     | 0.5876          | 0.7097         | 18    |
| 0.5597     | 0.5883          | 0.6774         | 19    |
| 0.5424     | 0.5897          | 0.6774         | 20    |
| 0.5420     | 0.5780          | 0.7097         | 21    |
| 0.5413     | 0.5812          | 0.6774         | 22    |
| 0.5327     | 0.6057          | 0.6774         | 23    |
| 0.5362     | 0.5907          | 0.6452         | 24    |
| 0.5191     | 0.6090          | 0.6129         | 25    |
| 0.4838     | 0.6038          | 0.6452         | 26    |
| 0.5049     | 0.5659          | 0.7419         | 27    |
| 0.4900     | 0.5874          | 0.6774         | 28    |
| 0.4980     | 0.5805          | 0.6774         | 29    |
| 0.4809     | 0.5775          | 0.6774         | 30    |
| 0.4708     | 0.5575          | 0.7097         | 31    |
| 0.4652     | 0.5569          | 0.6774         | 32    |
| 0.4326     | 0.6339          | 0.6452         | 33    |
| 0.4600     | 0.5935          | 0.6452         | 34    |
| 0.4514     | 0.5497          | 0.7097         | 35    |
| 0.4137     | 0.5883          | 0.6774         | 36    |
| 0.3975     | 0.5795          | 0.7097         | 37    |
| 0.4113     | 0.6108          | 0.6774         | 38    |
| 0.4169     | 0.6087          | 0.6452         | 39    |
| 0.3860     | 0.6026          | 0.6774         | 40    |
| 0.4146     | 0.6108          | 0.6452         | 41    |
| 0.4226     | 0.7029          | 0.6774         | 42    |
| 0.4039     | 0.6176          | 0.6774         | 43    |
| 0.3793     | 0.5920          | 0.6452         | 44    |
| 0.3516     | 0.5921          | 0.7097         | 45    |
| 0.3382     | 0.6763          | 0.5806         | 46    |
| 0.3818     | 0.7219          | 0.6774         | 47    |
| 0.3428     | 0.6276          | 0.6452         | 48    |
| 0.3103     | 0.6071          | 0.6774         | 49    |


### Framework versions

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

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