transformers safetensors swinv2 image-classification generated_from_trainer base_model:microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft
tags:
- generated_from_trainer
model-index:
- name: swinv2-large-patch4-window12to16-192to256-22kto1k-ft-01040117
  results: []
---

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# swinv2-large-patch4-window12to16-192to256-22kto1k-ft-01040117

This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on an unknown dataset.

## 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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 777
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 10

### Framework versions

- Transformers 4.36.2
- Pytorch 1.12.1
- Datasets 2.16.1
- Tokenizers 0.15.0
