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test_segformer – AI Model by euiik | AlphaNeural AI
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euiik
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test_segformer
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0
transformers
tf
segformer
generated_from_keras_callback
nvidia/mit-b0
finetune
other
endpoints_compatible
us
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test_segformer
This model is a fine-tuned version of
nvidia/mit-b0
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.8965
Validation Loss: 1.1488
Epoch: 0
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': True, '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
Train Loss
Validation Loss
Epoch
0.8965
1.1488
0
Framework versions
Transformers 4.33.2
TensorFlow 2.13.0
Tokenizers 0.13.3
