metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-large-patch16-224
tags:
- image-classification
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-005
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: 0.9875
vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-005
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: 0.1439
- Accuracy: 0.9875
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: 1e-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 |
|---|---|---|---|---|
| 1.5645 | 4.3636 | 10 | 1.2976 | 0.525 |
| 1.0147 | 8.7273 | 20 | 0.7672 | 0.8393 |
| 0.5992 | 13.2727 | 30 | 0.4470 | 0.9446 |
| 0.343 | 17.6364 | 40 | 0.2926 | 0.9589 |
| 0.2065 | 22.1818 | 50 | 0.1980 | 0.9786 |
| 0.1286 | 26.5455 | 60 | 0.1439 | 0.9875 |
| 0.082 | 31.0909 | 70 | 0.1141 | 0.9857 |
| 0.0649 | 35.4545 | 80 | 0.1032 | 0.9839 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3