andro-flock
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b2-segmentation

Image Segmentation

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b2-segmentation

This model is a fine-tuned version of andro-flock/b2-classification on the andro-flock/semantic-segment-4class 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: 8
eval_batch_size: 8
seed: 1337
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: polynomial
training_steps: 500

Training results

Framework versions

Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Downloads last month: 4

Safetensors

Model size

27.4M params

Tensor type

F32

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