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

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: 1.2935
- Validation Loss: 1.6986
- Validation Accuracy: 0.5619
- 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 |
|:----------:|:---------------:|:-------------------:|:-----:|
| 7.0613     | 4.8451          | 0.0134              | 0     |
| 4.6529     | 4.5201          | 0.0658              | 1     |
| 4.3215     | 4.1158          | 0.0992              | 2     |
| 3.8808     | 3.6981          | 0.1806              | 3     |
| 3.4497     | 3.2741          | 0.2553              | 4     |
| 3.0361     | 2.9681          | 0.3177              | 5     |
| 2.6734     | 2.6529          | 0.3690              | 6     |
| 2.3306     | 2.3803          | 0.4091              | 7     |
| 2.0284     | 2.1731          | 0.4738              | 8     |
| 1.7542     | 1.9839          | 0.4883              | 9     |
| 1.5084     | 1.8335          | 0.5284              | 10    |
| 1.2935     | 1.6986          | 0.5619              | 11    |


### Framework versions

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