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-perspectives-vit-large-patch16-224-in21k-v3
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: touchtech/fashion-images-perspectives
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.92455006922012
fashion-images-perspectives-vit-large-patch16-224-in21k-v3
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the touchtech/fashion-images-perspectives dataset. It achieves the following results on the evaluation set:
- Loss: 0.2419
- Accuracy: 0.9246
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 |
|---|---|---|---|---|
| 0.4353 | 1.0 | 3070 | 0.3395 | 0.8812 |
| 0.3415 | 2.0 | 6140 | 0.2544 | 0.9192 |
| 0.2689 | 3.0 | 9210 | 0.2419 | 0.9246 |
| 0.2525 | 4.0 | 12280 | 0.2953 | 0.9192 |
| 0.1977 | 5.0 | 15350 | 0.2444 | 0.9356 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3