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tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: brain-tumor-vgg19
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# brain-tumor-vgg19
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7640
- Accuracy: 0.9771
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 179 | 0.9034 | 0.8360 |
| No log | 2.0 | 358 | 0.8890 | 0.8558 |
| 0.869 | 3.0 | 537 | 0.8462 | 0.8940 |
| 0.869 | 4.0 | 716 | 0.8387 | 0.9047 |
| 0.869 | 5.0 | 895 | 0.7820 | 0.9580 |
| 0.7826 | 6.0 | 1074 | 0.8096 | 0.9306 |
| 0.7826 | 7.0 | 1253 | 0.7943 | 0.9474 |
| 0.7826 | 8.0 | 1432 | 0.7721 | 0.9695 |
| 0.7617 | 9.0 | 1611 | 0.7674 | 0.9756 |
| 0.7617 | 10.0 | 1790 | 0.7640 | 0.9771 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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