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apply_back_translation_model_v5_5.5k – AI Model by long292 | AlphaNeural AI
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long292
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apply_back_translation_model_v5_5.5k
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
vinai/bartpho-syllable-base
finetune
endpoints_compatible
us
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apply_back_translation_model_v5_5.5k
This model is a fine-tuned version of
vinai/bartpho-syllable-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8037
Bleu: 9.5286
Gen Len: 18.1293
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:
learning_rate: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.8819
1.0
14854
1.8037
9.5286
18.1293
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
