opus-mt-en-fr-finetuned-en-to-fr_multi-metric – AI Model by apersaud | AlphaNeural AI

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apersaud/
opus-mt-en-fr-finetuned-en-to-fr_multi-metric

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-en-fr

endpoints_compatible

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opus-mt-en-fr-finetuned-en-to-fr_multi-metric

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7694
Bleu: 0.2969
Sacrebleu: 29.6943
Meteor: 0.5599
Bertscore F1: 0.8507
Gen Len: 33.3669

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
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Sacrebleu	Meteor	Bertscore F1	Gen Len
2.9064	1.0	7149	2.8286	0.2821	28.2124	0.5482	0.8457	33.6091
2.7942	2.0	14298	2.7814	0.2944	29.4393	0.5566	0.8495	33.4998
2.7371	3.0	21447	2.7694	0.2969	29.6943	0.5599	0.8507	33.3669

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1