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pegasus-tf-finetuned – AI Model by daniel-tomiwa | AlphaNeural AI
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daniel-tomiwa
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pegasus-tf-finetuned
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transformers
tf
pegasus
text2text-generation
generated_from_keras_callback
endpoints_compatible
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daniel-tomiwa/pegasus-tf-finetuned
This model is a fine-tuned version of
human-centered-summarization/financial-summarization-pegasus
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.0977
Validation Loss: 1.4024
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
2.9010
1.8333
0
2.3427
1.5594
1
2.0977
1.4024
2
Framework versions
Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.7.1
Tokenizers 0.13.2
