---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
model-index:
- name: swinv2-tiny-patch4-window8-256-finetuned-IDRiD-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# swinv2-tiny-patch4-window8-256-finetuned-IDRiD-2

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9575
- Precision: 0.6190

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 3    | 1.1320          | 0.5476    |
| No log        | 2.0   | 6    | 1.0104          | 0.5714    |
| No log        | 3.0   | 9    | 0.9262          | 0.5714    |
| 0.9507        | 4.0   | 12   | 0.9342          | 0.6190    |
| 0.9507        | 5.0   | 15   | 0.9575          | 0.6190    |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3