metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-large-patch16-224-in21k
tags:
- image-classification
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: vit-large-patch16-224-in21k-dungeon-geo-morphs-denoised-04Dec24-004
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: dungeon-geo-morphs
type: imagefolder
config: default
split: validation
args: default
metrics:
- name: Accuracy
type: accuracy
value: 1
vit-large-patch16-224-in21k-dungeon-geo-morphs-denoised-04Dec24-004
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the dungeon-geo-morphs dataset. It achieves the following results on the evaluation set:
- Loss: 0.0486
- 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: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4428 | 4.0 | 10 | 1.0774 | 0.7192 |
| 0.8313 | 8.0 | 20 | 0.5764 | 0.9010 |
| 0.3864 | 12.0 | 30 | 0.2752 | 0.9576 |
| 0.164 | 16.0 | 40 | 0.1299 | 0.9879 |
| 0.08 | 20.0 | 50 | 0.0736 | 0.9960 |
| 0.046 | 24.0 | 60 | 0.0486 | 1.0 |
| 0.0243 | 28.0 | 70 | 0.0369 | 0.9939 |
| 0.0194 | 32.0 | 80 | 0.0254 | 1.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3