---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: arieg/spec_cls_80_v2
  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. -->

# arieg/spec_cls_80_v2

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: 1.0698
- Validation Loss: 1.0517
- Train Accuracy: 1.0
- Epoch: 9

## 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', 'clipnorm': 1.0, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 14400, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 4.2243     | 4.0115          | 0.575          | 0     |
| 3.6964     | 3.4678          | 0.9125         | 1     |
| 3.1703     | 2.9932          | 0.9938         | 2     |
| 2.7155     | 2.5826          | 0.9938         | 3     |
| 2.3313     | 2.2229          | 1.0            | 4     |
| 2.0025     | 1.9208          | 1.0            | 5     |
| 1.7153     | 1.6639          | 1.0            | 6     |
| 1.4721     | 1.4462          | 1.0            | 7     |
| 1.2586     | 1.2279          | 1.0            | 8     |
| 1.0698     | 1.0517          | 1.0            | 9     |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1