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Klarly/multilingual-MT_Medical-Diagnostics_ROM

sourceHugging Faceupdated 2y agoView on Hugging Face
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This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-roa on a dataset of medical diagnostic technical content.

Model Description

  • Developed by: Chiara Baffelli
  • Language(s) (NLP): EN, FR, ES, IT, PT, RO
  • Finetuned from model [optional]: Helsinki-NLP/opus-mt-en-roa
Training Hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.001
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 4
  • mixedprecisiontraining: Native AMP
Framework versions
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1