---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: cat_dog_classifier_with_small_datasest
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cat_dog_classifier_with_small_datasest

This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2638
- eval_model_preparation_time: 0.0044
- eval_accuracy: 0.9143
- eval_runtime: 2.4103
- eval_samples_per_second: 58.085
- eval_steps_per_second: 7.468
- step: 0

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Framework versions

- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0