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opus-mt-en-ro-finetuned-en-to-ro – AI Model by Houssam001 | AlphaNeural AI
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opus-mt-en-ro-finetuned-en-to-ro
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-ro
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-ro-finetuned-en-to-ro
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ro
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2884
Bleu: 28.1405
Gen Len: 34.046
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.7416
1.0
38145
1.2884
28.1405
34.046
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
