vit_lora / README.md
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epoch0.4
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metadata
base_model: google/vit-base-patch16-224
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: lora
    results: []

lora

This model is a fine-tuned version of google/vit-base-patch16-224 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: 5e-05
  • train_batch_size: 50
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 16

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Tokenizers 0.19.1