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silmi224/led-risalah_data_v13

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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led-risalahdatav13

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.5198
  • —Rouge1 Precision: 0.4184
  • —Rouge1 Recall: 0.4032
  • —Rouge1 Fmeasure: 0.4092

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: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1 FmeasureRouge1 PrecisionRouge1 Recall
3.15170.9714172.35600.26980.2770.2642
2.26182.0352.14870.31830.32950.3091
1.97142.9714522.08260.33830.3580.3226
1.89914.0702.02840.340.35790.3248
1.77134.9714871.98710.36670.37440.3602
1.78896.01051.97140.36140.37290.3521
1.63786.97141221.94810.35890.37620.3461
1.56498.01401.94260.36570.38020.3545
1.51578.97141571.93490.36670.3750.361

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.1.2
  • —Datasets 2.19.2
  • —Tokenizers 0.19.1