---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: alexnet-pneumonia
  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. -->

# alexnet-pneumonia

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: 0.1262
- Accuracy: 0.9522

## 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: 16
- eval_batch_size: 50
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4174        | 0.99  | 52   | 0.3565          | 0.8496   |
| 0.2598        | 2.0   | 105  | 0.2537          | 0.8986   |
| 0.1915        | 2.99  | 157  | 0.2482          | 0.9021   |
| 0.1696        | 4.0   | 210  | 0.1265          | 0.9558   |
| 0.1244        | 4.95  | 260  | 0.1234          | 0.9547   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3