---
library_name: transformers
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SCUTFVD-resnet50-fold02
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# SCUTFVD-resnet50-fold02

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2553
- Accuracy: 1.0

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.3939        | 1.0   | 75   | 3.5459          | 0.8125   |
| 2.6004        | 2.0   | 150  | 2.7319          | 0.75     |
| 2.1055        | 3.0   | 225  | 2.5355          | 0.6875   |
| 1.5796        | 4.0   | 300  | 1.8482          | 0.9688   |
| 1.3936        | 5.0   | 375  | 2.8199          | 0.5312   |
| 1.2338        | 6.0   | 450  | 1.6173          | 0.8438   |
| 0.9104        | 7.0   | 525  | 1.2332          | 0.9688   |
| 0.8993        | 8.0   | 600  | 0.5451          | 1.0      |
| 0.7933        | 9.0   | 675  | 0.9290          | 1.0      |
| 0.7451        | 10.0  | 750  | 0.2553          | 1.0      |


### Framework versions

- Transformers 5.1.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2