transformers tf vit image-classification generated_from_keras_callback base_model:anum231/class2_v1 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: anum231/class2_v1
tags:
- generated_from_keras_callback
model-index:
- name: anum231/class2_v1
  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. -->

# anum231/class2_v1

This model is a fine-tuned version of [anum231/class2_v1](https://huggingface.co/anum231/class2_v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4768
- Validation Loss: 0.3740
- Train Accuracy: 0.8966
- 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', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1160, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.9471     | 0.7465          | 0.4828         | 0     |
| 0.7152     | 0.6636          | 0.5862         | 1     |
| 0.6634     | 0.6322          | 0.6207         | 2     |
| 0.6447     | 0.5829          | 0.6897         | 3     |
| 0.6256     | 0.5359          | 0.7586         | 4     |
| 0.6044     | 0.4895          | 0.8621         | 5     |
| 0.5432     | 0.4623          | 0.8966         | 6     |
| 0.5232     | 0.4666          | 0.8621         | 7     |
| 0.5435     | 0.4061          | 0.8966         | 8     |
| 0.4768     | 0.3740          | 0.8966         | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1
