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snap-plate-dfine-small-v87-gt25 – AI Model by aguxez | AlphaNeural AI
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aguxez
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snap-plate-dfine-small-v87-gt25
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transformers
onnx
safetensors
d_fine
object-detection
vision
generated_from_trainer
imagefolder
aguxez/snap-plate-dfine-small-v1
quantized
apache-2.0
endpoints_compatible
us
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snap-plate-dfine-small-v87-gt25
This model is a fine-tuned version of
aguxez/snap-plate-dfine-small-v1
on the aguxez/snap-equipment-youtube-v73-train-plate-v2 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: 2e-06
train_batch_size: 4
eval_batch_size: 8
seed: 7
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.14.1
Pytorch 2.13.0+cu130
Datasets 5.0.1
Tokenizers 0.22.2