Team Ai
Modelpublic

davelotito/donut_experiment_bayesian_trial_13

sourceHugging Facemitupdated 2y agoView on Hugging Face
0likes13downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

donutexperimentbayesiantrial13

This model is a fine-tuned version of naver-clova-ix/donut-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5500
  • —Bleu: 0.0682
  • —Precisions: [0.8219461697722568, 0.755868544600939, 0.7073170731707317, 0.6474358974358975]
  • —Brevity Penalty: 0.0934
  • —Length Ratio: 0.2967
  • —Translation Length: 483
  • —Reference Length: 1628
  • —Cer: 0.7531
  • —Wer: 0.8285

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: 6.0814226870239416e-05
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 2
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossBleuPrecisionsBrevity PenaltyLength RatioTranslation LengthReference LengthCerWer
0.04551.02530.52620.0660[0.8166666666666667, 0.7446808510638298, 0.6939890710382514, 0.6407766990291263]0.09150.294848016280.76010.8316
0.02762.05060.55000.0682[0.8219461697722568, 0.755868544600939, 0.7073170731707317, 0.6474358974358975]0.09340.296748316280.75310.8285

Framework versions

  • —Transformers 4.40.0
  • —Pytorch 2.1.0
  • —Datasets 2.18.0
  • —Tokenizers 0.19.1