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yolo_finetuned_fruits – AI Model by jojimene | AlphaNeural AI
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yolo_finetuned_fruits
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transformers
safetensors
yolos
object-detection
generated_from_trainer
hustvl/yolos-tiny
finetune
apache-2.0
endpoints_compatible
us
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yolo_finetuned_fruits
This model is a fine-tuned version of
hustvl/yolos-tiny
on the None dataset.
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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 30
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
