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ja-en-dataset-v3.0-subset-v1.0 – AI Model by Prgrg | AlphaNeural AI
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Prgrg
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ja-en-dataset-v3.0-subset-v1.0
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transformers
tf
marian
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
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Prgrg/ja-en-dataset-v3.0-subset-v1.0
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-jap-en
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.9548
Validation Loss: 1.7305
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': 'Adam', 'weight_decay': 0.0, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'LinearWarmupCosineSchedule', 'config': {'initial_learning_rate': 0.0005, 'num_warmup_steps': 56362, 'num_training_steps': 563628}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
2.7629
1.9424
0
1.9548
1.7305
1
Framework versions
Transformers 4.27.3
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2
