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pegasus_trained_SIR – AI Model by marij868 | AlphaNeural AI
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marij868
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pegasus_trained_SIR
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transformers
tf
pegasus
text2text-generation
generated_from_keras_callback
endpoints_compatible
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pegasus_trained_SIR
This model is a fine-tuned version of
google/pegasus-large
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.0036
Train Sparse Categorical Accuracy: 0.7945
Validation Loss: 1.1063
Validation Sparse Categorical Accuracy: 0.7936
Epoch: 2
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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Sparse Categorical Accuracy
Validation Loss
Validation Sparse Categorical Accuracy
Epoch
1.3170
0.7603
1.1221
0.7874
0
1.1244
0.7805
1.1193
0.7913
1
1.0036
0.7945
1.1063
0.7936
2
Framework versions
Transformers 4.28.0
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3
