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# DownwardSpiral33/hands_palms_classifier_rot02

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: 0.2625
- Validation Loss: 0.5495
- Train Accuracy: 0.8387
- Epoch: 48

## 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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6825     | 0.6583          | 0.6452         | 0     |
| 0.6678     | 0.6503          | 0.6452         | 1     |
| 0.6675     | 0.6464          | 0.6452         | 2     |
| 0.6613     | 0.6415          | 0.6452         | 3     |
| 0.6494     | 0.6386          | 0.6452         | 4     |
| 0.6425     | 0.6291          | 0.6452         | 5     |
| 0.6346     | 0.6174          | 0.6452         | 6     |
| 0.6238     | 0.6130          | 0.6774         | 7     |
| 0.6154     | 0.6024          | 0.6774         | 8     |
| 0.5891     | 0.5970          | 0.7419         | 9     |
| 0.5942     | 0.5873          | 0.7419         | 10    |
| 0.5802     | 0.5815          | 0.7097         | 11    |
| 0.5684     | 0.5540          | 0.7419         | 12    |
| 0.5802     | 0.5630          | 0.7097         | 13    |
| 0.5582     | 0.5820          | 0.6452         | 14    |
| 0.5363     | 0.5719          | 0.7097         | 15    |
| 0.5338     | 0.5495          | 0.7419         | 16    |
| 0.5289     | 0.5235          | 0.7742         | 17    |
| 0.5145     | 0.5370          | 0.7419         | 18    |
| 0.4930     | 0.5152          | 0.8065         | 19    |
| 0.4902     | 0.5098          | 0.7742         | 20    |
| 0.4744     | 0.4988          | 0.8387         | 21    |
| 0.4574     | 0.4835          | 0.8387         | 22    |
| 0.4609     | 0.5169          | 0.7419         | 23    |
| 0.4633     | 0.5452          | 0.6774         | 24    |
| 0.4544     | 0.5587          | 0.7097         | 25    |
| 0.4574     | 0.5251          | 0.7742         | 26    |
| 0.4523     | 0.4937          | 0.7742         | 27    |
| 0.4452     | 0.4740          | 0.8387         | 28    |
| 0.4170     | 0.4621          | 0.8065         | 29    |
| 0.4051     | 0.4820          | 0.8065         | 30    |
| 0.3928     | 0.4733          | 0.7742         | 31    |
| 0.3779     | 0.5030          | 0.7097         | 32    |
| 0.3635     | 0.5926          | 0.6452         | 33    |
| 0.3348     | 0.5447          | 0.7742         | 34    |
| 0.3406     | 0.5505          | 0.7419         | 35    |
| 0.3688     | 0.5306          | 0.8065         | 36    |
| 0.3252     | 0.5622          | 0.7097         | 37    |
| 0.3323     | 0.5813          | 0.7419         | 38    |
| 0.2871     | 0.6733          | 0.6774         | 39    |
| 0.2854     | 0.7494          | 0.6129         | 40    |
| 0.3325     | 0.5558          | 0.7742         | 41    |
| 0.2648     | 0.4954          | 0.8387         | 42    |
| 0.2584     | 0.5120          | 0.8065         | 43    |
| 0.2893     | 0.5488          | 0.7742         | 44    |
| 0.2697     | 0.4476          | 0.8387         | 45    |
| 0.2514     | 0.4976          | 0.8065         | 46    |
| 0.2198     | 0.4788          | 0.8065         | 47    |
| 0.2625     | 0.5495          | 0.8387         | 48    |


### Framework versions

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

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