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Golmote/
marian-opus-mt-tc-big-finetuned-smash-up-en-to-fr-v2

Name: marian-opus-mt-tc-big-finetuned-smash-up-en-to-fr-v2
Availability: InStock

generated_from_trainer

Helsinki-NLP/opus-mt-tc-big-en-fr

finetune

cc-by-4.0

endpoints_compatible

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marian-opus-mt-tc-big-finetuned-smash-up-en-to-fr-v2

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

Loss: 0.1381
Model Preparation Time: 0.0034
Bleu: 87.7313

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: 32
eval_batch_size: 64
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: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Bleu
No log	1.0	39	0.2063	0.0034	83.5055
No log	2.0	78	0.1600	0.0034	86.2921
No log	3.0	117	0.1455	0.0034	87.2991
No log	4.0	156	0.1409	0.0034	87.1426
No log	5.0	195	0.1372	0.0034	87.7719
No log	6.0	234	0.1381	0.0034	87.6729
No log	7.0	273	0.1381	0.0034	87.7313

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Golmote/marian-opus-mt-tc-big-finetuned-smash-up-en-to-fr-v2

marian-opus-mt-tc-big-finetuned-smash-up-en-to-fr-v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Golmote/
marian-opus-mt-tc-big-finetuned-smash-up-en-to-fr-v2