transformers tensorboard safetensors swin image-classification generated_from_trainer base_model:microsoft/swin-tiny-patch4-window7-224 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: riconoscimento_documenti
  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. -->

# riconoscimento_documenti

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   | 1    | 1.9560          | 0.0      |
| No log        | 2.0   | 3    | 1.4216          | 0.7375   |
| No log        | 3.0   | 5    | 0.6008          | 1.0      |
| No log        | 4.0   | 6    | 0.2696          | 1.0      |
| No log        | 5.0   | 7    | 0.0996          | 1.0      |
| No log        | 6.0   | 9    | 0.0089          | 1.0      |
| 0.4721        | 7.0   | 11   | 0.0011          | 1.0      |
| 0.4721        | 8.0   | 12   | 0.0005          | 1.0      |
| 0.4721        | 9.0   | 13   | 0.0002          | 1.0      |
| 0.4721        | 10.0  | 15   | 0.0001          | 1.0      |
| 0.4721        | 11.0  | 17   | 0.0000          | 1.0      |
| 0.4721        | 12.0  | 18   | 0.0000          | 1.0      |
| 0.4721        | 13.0  | 19   | 0.0000          | 1.0      |
| 0.0003        | 14.0  | 21   | 0.0000          | 1.0      |
| 0.0003        | 15.0  | 23   | 0.0000          | 1.0      |
| 0.0003        | 16.0  | 24   | 0.0000          | 1.0      |
| 0.0003        | 17.0  | 25   | 0.0000          | 1.0      |
| 0.0003        | 18.0  | 27   | 0.0000          | 1.0      |
| 0.0003        | 19.0  | 29   | 0.0000          | 1.0      |
| 0.0           | 20.0  | 30   | 0.0000          | 1.0      |
| 0.0           | 21.0  | 31   | 0.0000          | 1.0      |
| 0.0           | 22.0  | 33   | 0.0000          | 1.0      |
| 0.0           | 23.0  | 35   | 0.0000          | 1.0      |
| 0.0           | 24.0  | 36   | 0.0000          | 1.0      |
| 0.0           | 25.0  | 37   | 0.0000          | 1.0      |
| 0.0           | 26.0  | 39   | 0.0000          | 1.0      |
| 0.0           | 27.0  | 41   | 0.0000          | 1.0      |
| 0.0           | 28.0  | 42   | 0.0000          | 1.0      |
| 0.0           | 29.0  | 43   | 0.0000          | 1.0      |
| 0.0           | 30.0  | 45   | 0.0000          | 1.0      |
| 0.0           | 31.0  | 47   | 0.0000          | 1.0      |
| 0.0           | 32.0  | 48   | 0.0000          | 1.0      |
| 0.0           | 33.0  | 49   | 0.0000          | 1.0      |
| 0.0           | 33.33 | 50   | 0.0000          | 1.0      |


### Framework versions

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