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model_opus-mt-en-mul-finetuned – AI Model by Miguelcj1 | AlphaNeural AI | AlphaNeural AI
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model_opus-mt-en-mul-finetuned
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-mul
finetune
apache-2.0
endpoints_compatible
us
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model_opus-mt-en-mul-finetuned
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-mul
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8770
Bleu: 44.5232
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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.15.2