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lab1_finetuning – AI Model by Jarmac | AlphaNeural AI
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lab1_finetuning
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
kde4
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
endpoints_compatible
us
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marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on the kde4 dataset.
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 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2
