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plant-seedlings-model-aug-3 – AI Model by carolinetfls | AlphaNeural AI
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plant-seedlings-model-aug-3
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transformers
pytorch
tensorboard
vit
image-classification
generated_from_trainer
imagefolder
apache-2.0
autotrain_compatible
endpoints_compatible
us
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plant-seedlings-model-aug-3
This model is a fine-tuned version of
google/vit-base-patch16-224
on the imagefolder dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2365
eval_accuracy: 0.9613
eval_runtime: 29.5637
eval_samples_per_second: 61.224
eval_steps_per_second: 7.678
epoch: 23.4
step: 4400
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: 24
mixed_precision_training: Native AMP
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
