---
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_keras_callback
model-index:
- name: SaladSlayer00/image_classification_resnet
  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. -->

# SaladSlayer00/image_classification_resnet

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.2581
- Validation Loss: 1.6399
- Validation Accuracy: 0.5823
- Epoch: 11

## 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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:---------------:|:-------------------:|:-----:|
| 7.0750     | 4.8746          | 0.0090              | 0     |
| 4.6468     | 4.5229          | 0.0538              | 1     |
| 4.3211     | 4.1033          | 0.1209              | 2     |
| 3.8784     | 3.6736          | 0.1859              | 3     |
| 3.4274     | 3.2193          | 0.2419              | 4     |
| 3.0071     | 2.8524          | 0.3012              | 5     |
| 2.6239     | 2.5632          | 0.3651              | 6     |
| 2.2925     | 2.2959          | 0.4233              | 7     |
| 1.9792     | 2.1138          | 0.4882              | 8     |
| 1.7199     | 1.9271          | 0.5174              | 9     |
| 1.4845     | 1.7643          | 0.5666              | 10    |
| 1.2581     | 1.6399          | 0.5823              | 11    |


### Framework versions

- Transformers 4.36.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0