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alpsahin/turkish-gpt2-medium-finetuned-textholder-corpus

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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turkish-gpt2-medium-finetuned-textholder-corpus

This model is a fine-tuned version of ytu-ce-cosmos/turkish-gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.3760

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: 0.0001
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 256
  • —totalevalbatch_size: 32
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 1.0

Training results

Training LossEpochStepValidation Loss
3.590.14452003.5168
3.5190.28904003.4405
3.48720.43356003.4004
3.45280.57808003.3835
3.4490.722510003.3772
3.43260.867112003.3760

Framework versions

  • —Transformers 4.50.0
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.6.0
  • —Tokenizers 0.21.1