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yasmineee/finetune-NLLB-600M-on-opus100-Ar2En-without-optimization

sourceHugging Facecc-by-nc-4.0updated 2y agoView on Hugging Face
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Model Card

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finetune-NLLB-600M-on-opus100-Ar2En-without-optimization

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.2100
  • —Bleu: 34.6972
  • —Rouge: 0.6037
  • —Gen Len: 17.7144

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
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 4
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossBleuRougeGen Len
1.54871.020001.211834.29740.607217.6144
1.1352.040001.210034.69720.603717.7144
0.97463.060001.241434.10240.599517.6656

Framework versions

  • —Transformers 4.44.0
  • —Pytorch 2.4.0
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1