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pegasus_informative_canon_tuned_tpuv4-16 – AI Model by arthd24 | AlphaNeural AI
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arthd24
/
pegasus_informative_canon_tuned_tpuv4-16
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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_canon_tuned_tpuv4-16
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: 0.9694
Validation Loss: 1.2714
Epoch: 8
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': 0.00014100487, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.011388322848235903}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.5204
1.3276
0
1.3531
1.2816
1
1.2646
1.2566
2
1.1939
1.2423
3
1.1398
1.2393
4
1.0920
1.2479
5
1.0495
1.2520
6
1.0078
1.2620
7
0.9694
1.2714
8
Framework versions
Transformers 4.51.3
TensorFlow 2.16.1
Datasets 3.5.0
Tokenizers 0.21.1