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karlin-surface-v1 – AI Model by justinkarlin | AlphaNeural AI
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karlin-surface-v1
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transformers
safetensors
segformer
generated_from_trainer
nvidia/mit-b5
finetune
other
endpoints_compatible
us
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karlin-surface-v1
This model is a fine-tuned version of
nvidia/mit-b5
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: 6e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use 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: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
