|
--- |
|
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-0-4-28Nov24-006 |
|
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: 0.9821428571428571 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# vit-large-patch16-224-dungeon-geo-morphs-0-4-28Nov24-006 |
|
|
|
This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0747 |
|
- Accuracy: 0.9821 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.6194 | 4.0 | 10 | 1.2322 | 0.6214 | |
|
| 0.7978 | 8.0 | 20 | 0.5919 | 0.925 | |
|
| 0.2576 | 12.0 | 30 | 0.2721 | 0.9679 | |
|
| 0.0723 | 16.0 | 40 | 0.1548 | 0.9786 | |
|
| 0.0202 | 20.0 | 50 | 0.1066 | 0.9768 | |
|
| 0.0067 | 24.0 | 60 | 0.0747 | 0.9821 | |
|
| 0.0035 | 28.0 | 70 | 0.0754 | 0.9768 | |
|
| 0.0027 | 32.0 | 80 | 0.0730 | 0.9786 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.2 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.20.3 |
|
|
