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# DownwardSpiral33/hands_palms_classifier

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: 0.4367
- Validation Loss: 0.7459
- Train Accuracy: 0.5806
- Epoch: 38

## 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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6873     | 0.6761          | 0.6129         | 0     |
| 0.6720     | 0.6625          | 0.6452         | 1     |
| 0.6638     | 0.6577          | 0.6452         | 2     |
| 0.6634     | 0.6547          | 0.6774         | 3     |
| 0.6547     | 0.6507          | 0.6774         | 4     |
| 0.6556     | 0.6423          | 0.6774         | 5     |
| 0.6433     | 0.6346          | 0.6774         | 6     |
| 0.6394     | 0.6293          | 0.7097         | 7     |
| 0.6344     | 0.6239          | 0.7419         | 8     |
| 0.6205     | 0.6206          | 0.7742         | 9     |
| 0.6047     | 0.6115          | 0.7097         | 10    |
| 0.6163     | 0.5970          | 0.7419         | 11    |
| 0.6022     | 0.6069          | 0.7097         | 12    |
| 0.5958     | 0.6009          | 0.7419         | 13    |
| 0.5789     | 0.5971          | 0.6774         | 14    |
| 0.5758     | 0.5962          | 0.6774         | 15    |
| 0.5662     | 0.5976          | 0.6774         | 16    |
| 0.5579     | 0.5926          | 0.6774         | 17    |
| 0.5577     | 0.5811          | 0.6452         | 18    |
| 0.5474     | 0.5880          | 0.6452         | 19    |
| 0.5249     | 0.5921          | 0.6774         | 20    |
| 0.5412     | 0.6075          | 0.6774         | 21    |
| 0.5154     | 0.6266          | 0.7097         | 22    |
| 0.5199     | 0.6063          | 0.6129         | 23    |
| 0.5150     | 0.6054          | 0.5806         | 24    |
| 0.5199     | 0.6107          | 0.6774         | 25    |
| 0.4823     | 0.5959          | 0.6129         | 26    |
| 0.4800     | 0.6581          | 0.6452         | 27    |
| 0.4732     | 0.6620          | 0.6129         | 28    |
| 0.4766     | 0.6284          | 0.6129         | 29    |
| 0.4889     | 0.6978          | 0.5806         | 30    |
| 0.4530     | 0.6636          | 0.5806         | 31    |
| 0.4320     | 0.6348          | 0.6129         | 32    |
| 0.4704     | 0.6326          | 0.6774         | 33    |
| 0.4487     | 0.6937          | 0.6774         | 34    |
| 0.4382     | 0.6423          | 0.5806         | 35    |
| 0.4035     | 0.6926          | 0.5806         | 36    |
| 0.4330     | 0.7225          | 0.5484         | 37    |
| 0.4367     | 0.7459          | 0.5806         | 38    |


### Framework versions

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

badhand goodhand