transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: Fine-Tuned_Model3_training_for_2_class
  results: []
---

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# Fine-Tuned_Model3_training_for_2_class

This model was trained from scratch on the imagefolder 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results



### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
