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en-zh-test – AI Model by pastells | AlphaNeural AI
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pastells
/
en-zh-test
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transformers
tf
tensorboard
marian
text2text-generation
generated_from_keras_callback
Helsinki-NLP/opus-mt-en-zh
finetune
apache-2.0
endpoints_compatible
us
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pastells/en-zh-test
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-zh
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 3.6747
Validation Loss: 4.4216
Train Bleu: 0.0097
Train Gen Len: 100.1395
Epoch: 4
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 Bleu
Train Gen Len
Epoch
4.4659
4.4875
0.0102
99.2093
0
4.2023
4.4382
0.0588
34.8372
1
4.0009
4.4255
0.0568
34.5116
2
3.8234
4.4239
0.0641
33.3488
3
3.6747
4.4216
0.0097
100.1395
4
Framework versions
Transformers 4.41.1
TensorFlow 2.15.0
Datasets 2.19.1
Tokenizers 0.19.1
