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

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: 0.0494
- Validation Loss: 0.9150
- Validation Accuracy: 0.7791
- Epoch: 8

## 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': 0.0005, '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 |
|:----------:|:---------------:|:-------------------:|:-----:|
| 4.3094     | 2.8494          | 0.2653              | 0     |
| 1.9389     | 1.6614          | 0.5538              | 1     |
| 0.8892     | 1.1064          | 0.7059              | 2     |
| 0.4021     | 0.9831          | 0.7336              | 3     |
| 0.2010     | 0.8325          | 0.7814              | 4     |
| 0.1096     | 0.8393          | 0.7758              | 5     |
| 0.0681     | 0.8437          | 0.7880              | 6     |
| 0.0543     | 0.8610          | 0.7658              | 7     |
| 0.0494     | 0.9150          | 0.7791              | 8     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0