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en-vi-mbart50_TMG301 – AI Model by nguyenvuhuy | AlphaNeural AI
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en-vi-mbart50_TMG301
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50-many-to-many-mmt
finetune
endpoints_compatible
us
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en-vi-mbart50_TMG301
This model is a fine-tuned version of
facebook/mbart-large-50-many-to-many-mmt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3264
Bleu: 34.1707
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
No log
0.6000
5000
1.3206
33.2479
No log
1.2000
10000
1.3078
34.0005
No log
1.8001
15000
1.2640
34.2700
No log
2.4001
20000
1.3264
34.1707
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
