metadata
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- image-classification
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: tumour
results: []
tumour
This model is a fine-tuned version of 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