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
---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: DownwardSpiral33/hands_palms_classifier_resize
  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. -->

# DownwardSpiral33/hands_palms_classifier_resize

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: 0.0501
- Validation Loss: 1.0093
- 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': '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6821     | 0.6453          | 0.6452         | 0     |
| 0.6637     | 0.6372          | 0.6452         | 1     |
| 0.6512     | 0.6279          | 0.6452         | 2     |
| 0.6342     | 0.6190          | 0.7097         | 3     |
| 0.6092     | 0.6068          | 0.7097         | 4     |
| 0.5795     | 0.5944          | 0.7742         | 5     |
| 0.5557     | 0.5840          | 0.7742         | 6     |
| 0.5159     | 0.5725          | 0.7419         | 7     |
| 0.4782     | 0.5667          | 0.7419         | 8     |
| 0.4409     | 0.5991          | 0.6774         | 9     |
| 0.4026     | 0.6284          | 0.6129         | 10    |
| 0.3717     | 0.6061          | 0.6774         | 11    |
| 0.3223     | 0.6154          | 0.6452         | 12    |
| 0.2490     | 0.6326          | 0.7419         | 13    |
| 0.2393     | 0.6448          | 0.6452         | 14    |
| 0.1971     | 0.6517          | 0.6774         | 15    |
| 0.1856     | 0.6966          | 0.5806         | 16    |
| 0.1828     | 0.7499          | 0.6774         | 17    |
| 0.1416     | 0.6842          | 0.7097         | 18    |
| 0.1379     | 0.6103          | 0.7742         | 19    |
| 0.1395     | 0.7928          | 0.6774         | 20    |
| 0.1494     | 0.6574          | 0.7097         | 21    |
| 0.1075     | 0.6905          | 0.7097         | 22    |
| 0.0969     | 0.6674          | 0.7097         | 23    |
| 0.1016     | 0.8444          | 0.6452         | 24    |
| 0.0974     | 0.9260          | 0.6129         | 25    |
| 0.1400     | 0.8985          | 0.6774         | 26    |
| 0.0977     | 0.9014          | 0.5806         | 27    |
| 0.0759     | 0.8310          | 0.6452         | 28    |
| 0.0683     | 0.8327          | 0.6774         | 29    |
| 0.0670     | 0.8247          | 0.7097         | 30    |
| 0.0692     | 0.8734          | 0.6452         | 31    |
| 0.0701     | 0.8369          | 0.7097         | 32    |
| 0.0605     | 1.0525          | 0.6129         | 33    |
| 0.0847     | 0.9439          | 0.5806         | 34    |
| 0.0515     | 0.8494          | 0.6774         | 35    |
| 0.0584     | 0.9270          | 0.5806         | 36    |
| 0.0623     | 1.0442          | 0.5806         | 37    |
| 0.0532     | 1.0707          | 0.6129         | 38    |
| 0.0596     | 0.9569          | 0.6452         | 39    |
| 0.0529     | 0.9502          | 0.7097         | 40    |
| 0.0451     | 0.9873          | 0.6452         | 41    |
| 0.0465     | 1.0143          | 0.6774         | 42    |
| 0.0426     | 1.0763          | 0.6452         | 43    |
| 0.0445     | 1.0282          | 0.6452         | 44    |
| 0.0644     | 1.0912          | 0.6129         | 45    |
| 0.1811     | 0.9771          | 0.6774         | 46    |
| 0.1052     | 1.0571          | 0.6452         | 47    |
| 0.0741     | 1.1330          | 0.5484         | 48    |
| 0.0501     | 1.0093          | 0.6774         | 49    |


### Framework versions

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