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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: resnet-50-drfx-CT-classifier
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.7647058823529411
---
<!-- 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. -->
# resnet-50-drfx-CT-classifier
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6813
- Accuracy: 0.7647
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 4 | 0.6770 | 0.6471 |
| No log | 2.0 | 8 | 0.6813 | 0.7647 |
| 0.6847 | 3.0 | 12 | 0.6777 | 0.7059 |
| 0.6847 | 4.0 | 16 | 0.6819 | 0.7059 |
| 0.6886 | 5.0 | 20 | 0.6842 | 0.6471 |
| 0.6886 | 6.0 | 24 | 0.6806 | 0.7059 |
| 0.6886 | 7.0 | 28 | 0.6765 | 0.7059 |
| 0.6865 | 8.0 | 32 | 0.6807 | 0.7647 |
| 0.6865 | 9.0 | 36 | 0.6822 | 0.6471 |
| 0.6848 | 10.0 | 40 | 0.6832 | 0.5882 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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