metadata

library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - image-classification
  - vision
  - generated_from_trainer
model-index:
  - name: vit-base-patch16-224-in21k
    results: []

vit-base-patch16-224-in21k

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the chainyo/rvl-cdip dataset. It achieves the following results on the evaluation set:

eval_loss: 2.7757
eval_model_preparation_time: 0.0119
eval_accuracy: 0.0567
eval_runtime: 362.8091
eval_samples_per_second: 132.301
eval_steps_per_second: 2.067
memory_allocated (GB): 0.79
max_memory_allocated (GB): 0.87
total_memory_available (GB): 94.62
step: 0

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: 8
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.45.2
Pytorch 2.4.0a0+git74cd574
Datasets 3.0.2
Tokenizers 0.20.1