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:
Loss: 0.4223
Accuracy: 0.8788
Memory Allocated (gb): 1.49
Max Memory Allocated (gb): 2.1
Total Memory Available (gb): 126.62
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
