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bowphs/evacun-lemmatization-vanilla-second-split

sourceHugging Faceupdated 2y agoView on Hugging Face
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evacun-lemmatization-vanilla-second-split

This model is a fine-tuned version of bowphs/evacun2025-1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2926
  • Exact Match: 0.8811

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: 1e-05
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 16
  • totaltrainbatch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 50

Training results

Training LossEpochStepValidation LossExact Match
0.05345.9999275420.19860.8633
0.03996.9999321320.21400.8587
0.02758.0367230.23050.86
0.02048.9999413130.25080.8654
0.01549.9998459030.26280.8728
0.012411.0000504940.28120.8745
0.010711.9999550840.28650.8734
0.008812.9998596740.29260.8811
0.006713.9999642650.30540.8648
0.005514.9999688550.31510.8668
0.005416.0734460.32020.8737
0.004216.9999780360.32770.8695
0.004117.9998826260.32820.8737

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.20.0