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-pack-types-vit-large-patch16-384-v1
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: touchtech/fashion-images-pack-types
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.989983305509182
fashion-images-pack-types-vit-large-patch16-384-v1
This model is a fine-tuned version of google/vit-large-patch16-384 on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set:
- Loss: 0.0446
- Accuracy: 0.9900
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 |
|---|---|---|---|---|
| 0.0823 | 1.0 | 1697 | 0.0661 | 0.9837 |
| 0.0197 | 2.0 | 3394 | 0.0900 | 0.9812 |
| 0.015 | 3.0 | 5091 | 0.0446 | 0.9900 |
| 0.0017 | 4.0 | 6788 | 0.0518 | 0.9912 |
| 0.0 | 5.0 | 8485 | 0.0485 | 0.9917 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0