README.md

metadata

library_name: transformers
license: apache-2.0
base_model: google/vit-large-patch16-224
tags:
  - image-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vit-large-patch16-224-dungeon-geo-morphs-003
    results: []

vit-large-patch16-224-dungeon-geo-morphs-003

This model is a fine-tuned version of google/vit-large-patch16-224 on the dungeon-geo-morphs dataset. It achieves the following results on the evaluation set:

• Loss: 0.0149
• Accuracy: 1.0

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8585	6.6667	10	0.2204	1.0
0.2115	13.3333	20	0.0530	1.0
0.0562	20.0	30	0.0149	1.0

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.0+cu121
• Tokenizers 0.20.3