transformers tensorboard safetensors resnet image-classification generated_from_trainer custom_code base_model:wucng/custom-resnet18 autotrain_compatible region:us
---
base_model: wucng/custom-resnet18
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: res18_flower_c5
  results: []
---

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# res18_flower_c5

This model is a fine-tuned version of [wucng/custom-resnet18](https://huggingface.co/wucng/custom-resnet18) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2866
- Accuracy: 0.8954

## 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:
- learning_rate: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4384        | 1.0   | 46   | 0.2866          | 0.8954   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
