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yesj1234/zhko_mbartLarge_sup_run1

sourceHugging Faceupdated 3y agoView on Hugging Face
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zhkombartLarge100p_run1

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7819
  • —Bleu: 45.7383
  • —Gen Len: 13.0535

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: 5e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —totalevalbatch_size: 8
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.01
  • —num_epochs: 15
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossBleuGen Len
1.02081.0694430.881441.554113.044
0.87562.01388870.803444.690613.1329
0.75663.02083300.781945.738313.0535
0.62394.02777740.792846.539812.9925
0.52455.03472170.833346.915313.0368
0.43336.04166610.899346.583312.9999

Framework versions

  • —Transformers 4.36.2
  • —Pytorch 2.1.2+cu121
  • —Datasets 2.16.1
  • —Tokenizers 0.15.0