---
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- image-classification
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: tumour
  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. -->

# tumour

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the essam24/brain-tumour-v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8286

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 195  | 4.5083          |
| No log        | 2.0   | 390  | 1.4575          |
| 3.0791        | 3.0   | 585  | 0.9050          |
| 3.0791        | 4.0   | 780  | 0.8538          |
| 3.0791        | 5.0   | 975  | 0.8286          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1