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tf_segformer_for_semantic_segmentation_v2 – AI Model by ArtemShyshko | AlphaNeural AI
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ArtemShyshko
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tf_segformer_for_semantic_segmentation_v2
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tf
segformer
generated_from_keras_callback
nvidia/mit-b0
finetune
other
us
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tf_segformer_for_semantic_segmentation_v2
This model is a fine-tuned version of
nvidia/mit-b0
on an unknown dataset. It achieves the following results on the evaluation set:
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:
optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Framework versions
Transformers 4.37.2
TensorFlow 2.11.0
Datasets 3.3.1
Tokenizers 0.15.2
