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bipin/malayalam-gpt2

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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malayalam-gpt2

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.8095

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.90421.06411.8638
1.85162.012821.8250
1.80343.019231.8095

Framework versions

  • —Transformers 4.16.2
  • —Pytorch 1.9.1
  • —Datasets 1.18.4
  • —Tokenizers 0.11.6