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muriloms/tcc-football-events-finetune-distilgpt2-40-5k

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

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tcc-football-events-finetune-distilgpt2-40-5k

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

  • —Loss: 0.2933

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
0.39951.020000.3618
0.33572.040000.3243
0.30963.060000.3122
0.30194.080000.3053
0.315.0100000.3012
0.28736.0120000.2974
0.28667.0140000.2958
0.27178.0160000.2949
0.27759.0180000.2937
0.273710.0200000.2933

Framework versions

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