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medical_en_fr_9_4 – AI Model by DogGoesBark | AlphaNeural AI
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DogGoesBark
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medical_en_fr_9_4
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transformers
pytorch
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
endpoints_compatible
us
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medical_en_fr_9_4
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: 0.1831
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: 0.0004
train_batch_size: 8
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
0.5045
3.74
3000
0.6012
0.1271
7.48
6000
0.1831
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
