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opus-mt-en-ro-finetuned-en-to-ro – AI Model by mitrabrindaa | AlphaNeural AI
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mitrabrindaa
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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: 0.9143
Bleu: 32.8129
Gen Len: 38.4
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.3589
1.0
3
0.9176
34.5521
37.8
0.3146
2.0
6
0.9147
32.7239
37.9
0.2165
3.0
9
0.9146
32.7239
37.9
0.0543
4.0
12
0.9143
32.8129
38.4
0.083
5.0
15
0.9143
32.8129
38.4
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
