metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fashion-clothing-decade
results: []
fashion-clothing-decade
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8707
- Accuracy: 0.7505
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: 3e-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 |
|---|---|---|---|---|
| 0.2495 | 0.98 | 31 | 0.9186 | 0.7305 |
| 0.2302 | 2.0 | 63 | 0.8839 | 0.7265 |
| 0.1951 | 2.98 | 94 | 0.9035 | 0.7006 |
| 0.1658 | 4.0 | 126 | 1.0236 | 0.6986 |
| 0.1796 | 4.98 | 157 | 0.8573 | 0.7246 |
| 0.1592 | 6.0 | 189 | 0.9642 | 0.7086 |
| 0.1523 | 6.98 | 220 | 0.9553 | 0.7046 |
| 0.1531 | 8.0 | 252 | 0.9164 | 0.7425 |
| 0.2108 | 8.98 | 283 | 0.8650 | 0.7505 |
| 0.2468 | 9.84 | 310 | 0.8707 | 0.7505 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1