metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fashion_classifier
results: []
fashion_classifier
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: 0.8857
- Accuracy: 0.8018
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 |
|---|---|---|---|---|
| 2.2283 | 0.9882 | 21 | 2.1148 | 0.4852 |
| 1.853 | 1.9765 | 42 | 1.6702 | 0.7249 |
| 1.4363 | 2.9647 | 63 | 1.3298 | 0.7367 |
| 1.1618 | 4.0 | 85 | 1.1528 | 0.7604 |
| 0.9739 | 4.9882 | 106 | 1.0281 | 0.7811 |
| 0.8778 | 5.9765 | 127 | 0.9325 | 0.7929 |
| 0.8114 | 6.9647 | 148 | 0.9100 | 0.8136 |
| 0.7626 | 8.0 | 170 | 0.9288 | 0.7633 |
| 0.691 | 8.9882 | 191 | 0.9058 | 0.7870 |
| 0.6988 | 9.8824 | 210 | 0.8857 | 0.8018 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1