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# riconoscimento_documenti_2

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- 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: 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.7741          | 0.1327   |
| 1.7625        | 2.0   | 12   | 1.4336          | 0.5174   |
| 1.7625        | 3.0   | 18   | 0.9371          | 0.8043   |
| 1.2151        | 4.0   | 24   | 0.3147          | 0.9973   |
| 0.3313        | 5.0   | 30   | 0.0508          | 1.0      |
| 0.3313        | 6.0   | 36   | 0.0072          | 1.0      |
| 0.0381        | 7.0   | 42   | 0.0051          | 1.0      |
| 0.0381        | 8.0   | 48   | 0.0054          | 0.9987   |
| 0.0204        | 9.0   | 54   | 0.0018          | 1.0      |
| 0.0303        | 10.0  | 60   | 0.0019          | 0.9987   |
| 0.0303        | 11.0  | 66   | 0.0018          | 0.9987   |
| 0.0164        | 12.0  | 72   | 0.0011          | 1.0      |
| 0.0164        | 13.0  | 78   | 0.0050          | 0.9987   |
| 0.0134        | 14.0  | 84   | 0.0039          | 0.9987   |
| 0.0194        | 15.0  | 90   | 0.0007          | 1.0      |
| 0.0194        | 16.0  | 96   | 0.0006          | 1.0      |
| 0.0053        | 17.0  | 102  | 0.0001          | 1.0      |
| 0.0053        | 18.0  | 108  | 0.0010          | 1.0      |
| 0.0055        | 19.0  | 114  | 0.0011          | 0.9987   |
| 0.0089        | 20.0  | 120  | 0.0007          | 1.0      |
| 0.0089        | 21.0  | 126  | 0.0001          | 1.0      |
| 0.0051        | 22.0  | 132  | 0.0001          | 1.0      |
| 0.0051        | 23.0  | 138  | 0.0019          | 1.0      |
| 0.0254        | 24.0  | 144  | 0.0001          | 1.0      |
| 0.005         | 25.0  | 150  | 0.0001          | 1.0      |
| 0.005         | 26.0  | 156  | 0.0000          | 1.0      |
| 0.0061        | 27.0  | 162  | 0.0002          | 1.0      |
| 0.0061        | 28.0  | 168  | 0.0001          | 1.0      |
| 0.0042        | 29.0  | 174  | 0.0001          | 1.0      |
| 0.0072        | 30.0  | 180  | 0.0006          | 1.0      |
| 0.0072        | 31.0  | 186  | 0.0001          | 1.0      |
| 0.0027        | 32.0  | 192  | 0.0001          | 1.0      |
| 0.0027        | 33.0  | 198  | 0.0001          | 1.0      |
| 0.0049        | 34.0  | 204  | 0.0001          | 1.0      |
| 0.0104        | 35.0  | 210  | 0.0005          | 1.0      |
| 0.0104        | 36.0  | 216  | 0.0002          | 1.0      |
| 0.0059        | 37.0  | 222  | 0.0001          | 1.0      |
| 0.0059        | 38.0  | 228  | 0.0002          | 1.0      |
| 0.0257        | 39.0  | 234  | 0.0000          | 1.0      |
| 0.0051        | 40.0  | 240  | 0.0000          | 1.0      |
| 0.0051        | 41.0  | 246  | 0.0000          | 1.0      |
| 0.0008        | 42.0  | 252  | 0.0000          | 1.0      |
| 0.0008        | 43.0  | 258  | 0.0000          | 1.0      |
| 0.0071        | 44.0  | 264  | 0.0000          | 1.0      |
| 0.0045        | 45.0  | 270  | 0.0000          | 1.0      |
| 0.0045        | 46.0  | 276  | 0.0000          | 1.0      |
| 0.0004        | 47.0  | 282  | 0.0000          | 1.0      |
| 0.0004        | 48.0  | 288  | 0.0000          | 1.0      |
| 0.0009        | 49.0  | 294  | 0.0000          | 1.0      |
| 0.0046        | 50.0  | 300  | 0.0000          | 1.0      |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2

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