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bartpho-Tay – AI Model by FiveC | AlphaNeural AI
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FiveC
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bartpho-Tay
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
vinai/bartpho-syllable
finetune
mit
endpoints_compatible
us
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bartpho-Tay
This model is a fine-tuned version of
vinai/bartpho-syllable
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1370
Sacrebleu: 13.9076
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
0.171
1.0
1285
0.1506
9.9545
0.1443
2.0
2570
0.1370
13.9076
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
