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JustAdvanceTechonology/medical_research_dataset_marian-finetuned-kde4-fr-to-en

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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JustAdvanceTechonology/medicalresearchdataset_marian-finetuned-kde4-fr-to-en

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:

  • —Train Loss: 0.6429
  • —Validation Loss: 0.8071
  • —Epoch: 2

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:

  • —optimizer: {'name': 'AdamWeightDecay', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 5e-05, 'decaysteps': 17733, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecay_rate': 0.01}
  • —trainingprecision: mixedfloat16

Training results

Train LossValidation LossEpoch
0.64230.80710
0.64240.80711
0.64290.80712

Framework versions

  • —Transformers 4.16.2
  • —TensorFlow 2.5.0
  • —Datasets 2.0.0
  • —Tokenizers 0.10.1