metadata
license: apache-2.0
base_model: google/vit-large-patch16-224-in21k
tags:
- image-classification
- vision
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: fashion-images-gender-age-vit-large-patch16-224-in21k
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: touchtech/fashion-images-gender-age
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9944444444444445
fashion-images-gender-age-vit-large-patch16-224-in21k
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the touchtech/fashion-images-gender-age dataset. It achieves the following results on the evaluation set:
- Loss: 0.0276
- Accuracy: 0.9944
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1615 | 1.0 | 2422 | 0.0551 | 0.9848 |
| 0.1032 | 2.0 | 4844 | 0.0404 | 0.9904 |
| 0.095 | 3.0 | 7266 | 0.0480 | 0.9904 |
| 0.0599 | 4.0 | 9688 | 0.0329 | 0.9924 |
| 0.0386 | 5.0 | 12110 | 0.0276 | 0.9944 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3