metadata

license: apache-2.0
base_model: facebook/convnextv2-large-22k-224
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ConvNextV2-large-DogBreed
    results: []

ConvNextV2-large-DogBreed

This model is a fine-tuned version of facebook/convnextv2-large-22k-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.8105
Accuracy: 0.0179

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
4.8833	1.0	13	4.7927	0.0180

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1