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muriloms/tcc-football-events-finetune-distilgpt2-50k

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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tcc-football-events-finetune-distilgpt2-50k

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2723

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-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.31161.0200000.2997
0.29412.0400000.2870
0.27973.0600000.2817
0.27994.0800000.2789
0.27525.01000000.2756
0.26796.01200000.2745
0.26497.01400000.2732
0.25878.01600000.2731
0.25569.01800000.2722
0.266710.02000000.2723

Framework versions

  • —Transformers 4.47.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0