metadata
license: apache-2.0
base_model: google/vit-huge-patch14-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FASHION-vision
results: []
FASHION-vision
This model is a fine-tuned version of google/vit-huge-patch14-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2821
- Accuracy: 0.9034
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5334 | 1.0 | 750 | 0.5595 | 0.8302 |
| 0.3389 | 2.0 | 1500 | 0.4090 | 0.8602 |
| 0.358 | 3.0 | 2250 | 0.3631 | 0.8717 |
| 0.3672 | 4.0 | 3000 | 0.3368 | 0.8815 |
| 0.3458 | 5.0 | 3750 | 0.3231 | 0.8842 |
| 0.2721 | 6.0 | 4500 | 0.3075 | 0.8885 |
| 0.2397 | 7.0 | 5250 | 0.3035 | 0.8899 |
| 0.2779 | 8.0 | 6000 | 0.2893 | 0.8963 |
| 0.2046 | 9.0 | 6750 | 0.2868 | 0.8991 |
| 0.2599 | 10.0 | 7500 | 0.2821 | 0.9034 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1