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# 2025-01-21-14-35-49-resnet-50

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:
- Loss: 0.1215
- Precision: 0.9786
- Recall: 0.9778
- F1: 0.9778
- Accuracy: 0.9788
- Top1 Accuracy: 0.9778
- Error Rate: 0.0212

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 3407
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy | Top1 Accuracy | Error Rate |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|
| 1.5858        | 1.0   | 34   | 1.5129          | 0.6583    | 0.5407 | 0.5138 | 0.5418   | 0.5407        | 0.4582     |
| 1.3909        | 2.0   | 68   | 1.1807          | 0.7779    | 0.6519 | 0.6537 | 0.6522   | 0.6519        | 0.3478     |
| 1.059         | 3.0   | 102  | 0.7503          | 0.8897    | 0.8889 | 0.8867 | 0.8901   | 0.8889        | 0.1099     |
| 0.6942        | 4.0   | 136  | 0.4029          | 0.9427    | 0.9407 | 0.9402 | 0.9427   | 0.9407        | 0.0573     |
| 0.4241        | 5.0   | 170  | 0.2325          | 0.9673    | 0.9630 | 0.9624 | 0.9655   | 0.9630        | 0.0345     |
| 0.3235        | 6.0   | 204  | 0.1702          | 0.9673    | 0.9630 | 0.9630 | 0.9650   | 0.9630        | 0.0350     |
| 0.259         | 7.0   | 238  | 0.1359          | 0.9722    | 0.9704 | 0.9704 | 0.9719   | 0.9704        | 0.0281     |
| 0.2231        | 8.0   | 272  | 0.1225          | 0.9722    | 0.9704 | 0.9704 | 0.9719   | 0.9704        | 0.0281     |
| 0.2167        | 9.0   | 306  | 0.1253          | 0.9722    | 0.9704 | 0.9704 | 0.9719   | 0.9704        | 0.0281     |
| 0.1973        | 10.0  | 340  | 0.1215          | 0.9786    | 0.9778 | 0.9778 | 0.9788   | 0.9778        | 0.0212     |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3

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