metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: vit-sports-cls
results: []
vit-sports-cls
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0838
- Accuracy: 0.9742
- Precision: 0.9743
- Recall: 0.9742
- F1: 0.9741
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.171 | 1.0 | 104 | 0.1729 | 0.9489 | 0.9493 | 0.9489 | 0.9489 |
| 0.0979 | 2.0 | 208 | 0.1356 | 0.9585 | 0.9597 | 0.9585 | 0.9583 |
| 0.0408 | 3.0 | 312 | 0.1184 | 0.9561 | 0.9571 | 0.9561 | 0.9561 |
| 0.0703 | 4.0 | 416 | 0.0892 | 0.9700 | 0.9701 | 0.9700 | 0.9699 |
| 0.1375 | 5.0 | 520 | 0.1029 | 0.9681 | 0.9683 | 0.9681 | 0.9682 |
| 0.0061 | 6.0 | 624 | 0.1073 | 0.9681 | 0.9688 | 0.9681 | 0.9682 |
| 0.0083 | 7.0 | 728 | 0.0795 | 0.9700 | 0.9701 | 0.9700 | 0.9700 |
| 0.0079 | 8.0 | 832 | 0.0754 | 0.9814 | 0.9816 | 0.9814 | 0.9814 |
| 0.0594 | 9.0 | 936 | 0.0714 | 0.9754 | 0.9756 | 0.9754 | 0.9754 |
| 0.0391 | 10.0 | 1040 | 0.0838 | 0.9742 | 0.9743 | 0.9742 | 0.9741 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0