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-04Dec24-001
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: 0.9696969696969697
vit-large-patch16-224-in21k-dungeon-geo-morphs-denoised-04Dec24-001
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: 0.0863
- Accuracy: 0.9697
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 |
|---|---|---|---|---|
| 1.3958 | 4.0 | 10 | 0.9619 | 0.8384 |
| 0.4596 | 8.0 | 20 | 0.3876 | 0.9333 |
| 0.1012 | 12.0 | 30 | 0.1928 | 0.9616 |
| 0.022 | 16.0 | 40 | 0.1181 | 0.9636 |
| 0.0066 | 20.0 | 50 | 0.0936 | 0.9677 |
| 0.0036 | 24.0 | 60 | 0.0863 | 0.9697 |
| 0.0028 | 28.0 | 70 | 0.0848 | 0.9697 |
| 0.0025 | 32.0 | 80 | 0.0826 | 0.9697 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3