--- library_name: transformers base_model: andro-flock/b2-classification tags: - image-segmentation - vision - generated_from_trainer model-index: - name: b2-semantic-segment results: [] --- # b2-semantic-segment This model is a fine-tuned version of [andro-flock/b2-classification](https://huggingface.co/andro-flock/b2-classification) on the andro-flock/semantic-segment2 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: 2000 ### Training results ### Framework versions - Transformers 4.50.0.dev0 - Pytorch 2.6.0+cu124 - Datasets 3.4.0 - Tokenizers 0.21.0