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opus-mt-en-fr-finetuned-en-to-ro – AI Model by gavinking | AlphaNeural AI
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opus-mt-en-fr-finetuned-en-to-ro
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-fr-finetuned-en-to-ro
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on an unknown dataset.
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: 4
eval_batch_size: 4
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
training_steps: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
0.0004
50
nan
0.0
1.0
Framework versions
Transformers 4.57.3
Pytorch 2.9.1
Datasets 3.6.0
Tokenizers 0.22.1
