metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- shoe-classification
metrics:
- accuracy
model-index:
- name: shoes_model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: shoe-classification
type: shoe-classification
config: full
split: test
args: full
metrics:
- name: Accuracy
type: accuracy
value: 0.9156626506024096
shoes_model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the shoe-classification dataset. It achieves the following results on the evaluation set:
- Loss: 0.3307
- Accuracy: 0.9157
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: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0767 | 1.0 | 18 | 0.8017 | 0.8434 |
| 0.7609 | 2.0 | 36 | 0.5786 | 0.8675 |
| 0.5705 | 3.0 | 54 | 0.4855 | 0.8554 |
| 0.4423 | 4.0 | 72 | 0.4495 | 0.8675 |
| 0.3604 | 5.0 | 90 | 0.3412 | 0.8916 |
| 0.3354 | 6.0 | 108 | 0.3307 | 0.9157 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3