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ja-en-JESC-v3.0 – AI Model by Prgrg | AlphaNeural AI
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Prgrg
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ja-en-JESC-v3.0
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transformers
tf
marian
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Prgrg/ja-en-JESC-v3.0
This model is a fine-tuned version of
Prgrg/ja-en-JESC-v2.0
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.8267
Validation Loss: 7.8094
Epoch: 5
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 150000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
3.3432
6.9622
0
5.2217
7.5277
1
5.1853
7.5818
2
4.9986
7.5179
3
4.8957
7.7693
4
4.8267
7.8094
5
Framework versions
Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2
