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marian-finetuned-cXg-nl-to-code-accelerate – AI Model by sheykina | AlphaNeural AI
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sheykina
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marian-finetuned-cXg-nl-to-code-accelerate
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transformers
tensorboard
safetensors
marian
text2text-generation
translation
generated_from_trainer
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
endpoints_compatible
us
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marian-finetuned-cXg-nl-to-code-accelerate
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: 2.9278
Bleu: 1.1782
Rouge: 1.1782
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
