metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-large-patch16-384
tags:
- image-classification
- vision
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: fashion-images-perspectives-vit-large-patch16-384-v3
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: touchtech/fashion-images-perspectives-v2
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9517798013245033
fashion-images-perspectives-vit-large-patch16-384-v3
This model is a fine-tuned version of google/vit-large-patch16-384 on the touchtech/fashion-images-perspectives-v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1759
- Accuracy: 0.9518
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: 1337
- 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
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1754 | 1.0 | 3423 | 0.1759 | 0.9518 |
| 0.1168 | 2.0 | 6846 | 0.2239 | 0.9499 |
| 0.0424 | 3.0 | 10269 | 0.2223 | 0.9607 |
| 0.0165 | 4.0 | 13692 | 0.2298 | 0.9627 |
| 0.0043 | 5.0 | 17115 | 0.2514 | 0.9619 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.3.2
- Tokenizers 0.21.0