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Pamzyy/sinhala_gpt2

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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sinhala_gpt2

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.4181

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-06
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 10
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
12.57680.07372011.7031
10.60160.14754010.1428
9.55920.2212608.4000
7.70860.2949806.1398
6.12880.36871005.1259
5.25510.44241204.4283
4.71270.51611404.0241
4.35720.58991603.7673
4.12430.66361803.6012
3.97140.73732003.5126
3.88670.81112203.4489
3.83340.88482403.4256
3.82040.95852603.4181

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.0+cu121
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1