đ vit-mlo-512-birads
This model is a fine - tuned version on the preprocessed1024_config dataset. It aims to solve image classification tasks and provides evaluation metrics such as accuracy and F1 score to measure its performance.
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: 1.0864
- Accuracy: {'accuracy': 0.4667085427135678}
- F1: {'f1': 0.3786054240333243}
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 |
| 1.103 |
1.0 |
796 |
1.0452 |
{'accuracy': 0.4748743718592965} |
{'f1': 0.21465076660988078} |
| 1.0596 |
2.0 |
1592 |
1.0433 |
{'accuracy': 0.4748743718592965} |
{'f1': 0.21465076660988078} |
| 1.0547 |
3.0 |
2388 |
1.0361 |
{'accuracy': 0.4748743718592965} |
{'f1': 0.21465076660988078} |
| 1.047 |
4.0 |
3184 |
1.0395 |
{'accuracy': 0.46796482412060303} |
{'f1': 0.25128840471066954} |
| 1.0524 |
5.0 |
3980 |
1.0331 |
{'accuracy': 0.4648241206030151} |
{'f1': 0.298317360340153} |
| 1.0268 |
6.0 |
4776 |
1.0224 |
{'accuracy': 0.47675879396984927} |
{'f1': 0.23426509831984135} |
| 1.0043 |
7.0 |
5572 |
1.0609 |
{'accuracy': 0.417713567839196} |
{'f1': 0.3663405670841817} |
| 0.982 |
8.0 |
6368 |
1.0521 |
{'accuracy': 0.44221105527638194} |
{'f1': 0.3650005046420297} |
| 0.9315 |
9.0 |
7164 |
1.0473 |
{'accuracy': 0.47738693467336685} |
{'f1': 0.3727220695970696} |
| 0.9319 |
10.0 |
7960 |
1.0864 |
{'accuracy': 0.4667085427135678} |
{'f1': 0.3786054240333243} |
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.
đ Metadata
| Property |
Details |
| Tags |
generated_from_trainer |
| Datasets |
preprocessed1024_config |
| Metrics |
accuracy, f1 |
| Model Name |
vit - mlo - 512 - birads |
| Task |
Image Classification |
| Dataset Name |
preprocessed1024_config |
| Dataset Type |
preprocessed1024_config |
| Dataset Args |
default |
| Accuracy |
0.4667085427135678 |
| F1 |
0.3786054240333243 |
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