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# resnet-50-pac_aug

This model is a fine-tuned version of [kiranshivaraju/resnet-50-pac_aug](https://huggingface.co/kiranshivaraju/resnet-50-pac_aug) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6055
- Recall: 0.0

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6335        | 1.0   | 15   | 0.6352          | 0.0    |
| 0.643         | 2.0   | 30   | 0.6276          | 0.0    |
| 0.6434        | 3.0   | 45   | 0.6228          | 0.0    |
| 0.6305        | 4.0   | 60   | 0.6156          | 0.0    |
| 0.6339        | 5.0   | 75   | 0.6167          | 0.0    |
| 0.6346        | 6.0   | 90   | 0.6112          | 0.0    |
| 0.6235        | 7.0   | 105  | 0.6095          | 0.0    |
| 0.6279        | 8.0   | 120  | 0.6082          | 0.0    |
| 0.6241        | 9.0   | 135  | 0.6073          | 0.0    |
| 0.6233        | 10.0  | 150  | 0.6055          | 0.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1

bad good