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pegasus_regular_check – AI Model by arthd24 | AlphaNeural AI
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arthd24
/
pegasus_regular_check
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transformers
tf
pegasus
text2text-generation
generated_from_keras_callback
thonyyy/pegasus_indonesian_base-finetune
finetune
apache-2.0
endpoints_compatible
us
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arthd24/pegasus_regular_check
This model is a fine-tuned version of
thonyyy/pegasus_indonesian_base-finetune
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.7589
Validation Loss: 1.6254
Epoch: 1
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': 'AdamWeightDecay', 'learning_rate': np.float32(2e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.9223
1.7277
0
1.7589
1.6254
1
Framework versions
Transformers 4.50.0
TensorFlow 2.18.0
Datasets 3.4.1
Tokenizers 0.21.0
