đ vit-model
This is a fine - tuned model on the preprocessed1024_config dataset, which can be used for image classification tasks and achieves certain accuracy and F1 scores.
đ Quick Start
This model is a fine - tuned version of on the preprocessed1024_config dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1353
- Accuracy: {'accuracy': 0.6011306532663316}
- F1: {'f1': 0.5956396413406886}
đ Documentation
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
F1 |
| 1.224 |
1.0 |
796 |
0.9884 |
{'accuracy': 0.5276381909547738} |
{'f1': 0.40344173017767304} |
| 0.96 |
2.0 |
1592 |
0.9255 |
{'accuracy': 0.5621859296482412} |
{'f1': 0.5134011716404221} |
| 0.8878 |
3.0 |
2388 |
0.9308 |
{'accuracy': 0.574748743718593} |
{'f1': 0.46867195041352344} |
| 0.809 |
4.0 |
3184 |
0.8904 |
{'accuracy': 0.6067839195979899} |
{'f1': 0.5799288651427482} |
| 0.7541 |
5.0 |
3980 |
0.8936 |
{'accuracy': 0.5954773869346733} |
{'f1': 0.5938876317530138} |
| 0.6904 |
6.0 |
4776 |
0.8760 |
{'accuracy': 0.6118090452261307} |
{'f1': 0.6023012293668115} |
| 0.6195 |
7.0 |
5572 |
1.0032 |
{'accuracy': 0.5917085427135679} |
{'f1': 0.5834559014249068} |
| 0.5766 |
8.0 |
6368 |
1.0268 |
{'accuracy': 0.6023869346733668} |
{'f1': 0.5779800559497847} |
| 0.4963 |
9.0 |
7164 |
1.0460 |
{'accuracy': 0.5992462311557789} |
{'f1': 0.5875334711293277} |
| 0.4323 |
10.0 |
7960 |
1.1353 |
{'accuracy': 0.6011306532663316} |
{'f1': 0.5956396413406886} |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1
đ License
No license information provided in the original document.
đĻ Additional Information
| Property |
Details |
| Tags |
generated_from_trainer |
| Datasets |
preprocessed1024_config |
| Metrics |
accuracy, f1 |
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