metadata

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

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: 0.2545
eval_model_preparation_time: 0.004
eval_accuracy: 0.9
eval_runtime: 2.5506
eval_samples_per_second: 54.89
eval_steps_per_second: 7.057
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