---
license: apache-2.0
base_model: microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: swinv2-large-patch4-window12to24-192to384-22kto1k-ft-finetuned-microbes
  results: []
---

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# swinv2-large-patch4-window12to24-192to384-22kto1k-ft-finetuned-microbes

This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8475
- eval_accuracy: 0.7479
- eval_runtime: 296.398
- eval_samples_per_second: 0.789
- eval_steps_per_second: 0.027
- epoch: 13.76
- step: 227

## 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: 25

### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.4
- Tokenizers 0.13.3