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pegasus_informative_10k – AI Model by arthd24 | AlphaNeural AI
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arthd24
/
pegasus_informative_10k
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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_informative_10k
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: 1.0055
Validation Loss: 1.2492
Train Rouge1: 0.5239
Train Rouge2: 0.383
Train Rougel: 0.4921
Train Rougelsum: 0.4922
Train Bertscore F1: 0.8071
Train Gen Len: 18.0561
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': '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
Train Rouge1
Train Rouge2
Train Rougel
Train Rougelsum
Train Bertscore F1
Train Gen Len
Epoch
1.0055
1.2492
0.5239
0.383
0.4921
0.4922
0.8071
18.0561
0
Framework versions
Transformers 4.46.1
TensorFlow 2.16.1
Datasets 3.1.0
Tokenizers 0.20.0
