metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: plant-seedlings-model-ConvNet-freeze-0-6-24ep
    results: []

plant-seedlings-model-ConvNet-freeze-0-6-24ep

This model is a fine-tuned version of facebook/convnext-tiny-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2699
eval_accuracy: 0.9269
eval_runtime: 20.7217
eval_samples_per_second: 78.613
eval_steps_per_second: 9.845
epoch: 18.92
step: 7700

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3