marian_trained – AI Model by DIPEN-SEN | AlphaNeural AI

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DIPEN-SEN/
marian_trained

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-en-fr

endpoints_compatible

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marian_trained

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0096
Bleu: 75.8199

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
No log	1.0	219	0.0138	69.5877
No log	1.992	436	0.0096	75.8199

Framework versions

Transformers 4.48.2
Pytorch 2.6.0
Datasets 3.2.0
Tokenizers 0.21.0