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ArunIcfoss/mt5-base-ICFOSS-malayalam_Hindi_Translator

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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mt5-base-ICFOSS-malayalamHindiTranslator

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.2179
  • —Bleu: 6.2035
  • —Rouge: {'rouge1': 0.2667970960136926, 'rouge2': 0.14574925525428614, 'rougeL': 0.26511828595423204, 'rougeLsum': 0.26501665904942706}
  • —Chrf: {'score': 23.454551827072866, 'charorder': 6, 'wordorder': 0, 'beta': 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:

  • —learning_rate: 0.0002
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossBleuRougeChrf
2.55151.043151.28745.8306{'rouge1': 0.2660910934739513, 'rouge2': 0.14404792849379128, 'rougeL': 0.26384549634107013, 'rougeLsum': 0.2637751499455684}{'score': 22.571342084258088, 'charorder': 6, 'wordorder': 0, 'beta': 2}
1.91432.086301.23196.1128{'rouge1': 0.263256301663898, 'rouge2': 0.14256738224583015, 'rougeL': 0.261282034035635, 'rougeLsum': 0.2613517649673947}{'score': 23.235214776547263, 'charorder': 6, 'wordorder': 0, 'beta': 2}
1.86443.0129451.21926.2145{'rouge1': 0.2670714744552978, 'rouge2': 0.14606073298261613, 'rougeL': 0.2652594809906982, 'rougeLsum': 0.26489596193447795}{'score': 23.438449086905997, 'charorder': 6, 'wordorder': 0, 'beta': 2}
1.85394.0172601.21796.2043{'rouge1': 0.26678061058524805, 'rouge2': 0.14565482302690236, 'rougeL': 0.26489350144733725, 'rougeLsum': 0.26477198178581135}{'score': 23.464895899326955, 'charorder': 6, 'wordorder': 0, 'beta': 2}
1.85255.0215751.21796.2035{'rouge1': 0.2667970960136926, 'rouge2': 0.14574925525428614, 'rougeL': 0.26511828595423204, 'rougeLsum': 0.26501665904942706}{'score': 23.454551827072866, 'charorder': 6, 'wordorder': 0, 'beta': 2}

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.40.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1