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muriloms/tcc-football-events-finetune-EleutherAI_gpt-neo-125M-5-5k

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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tcc-football-events-finetune-EleutherAI_gpt-neo-125M-5-5k

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3492

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
0.32951.020000.3282
0.29062.040000.3081
0.28613.060000.2995
0.26944.080000.2986
0.25285.0100000.2992
0.24746.0120000.3043
0.22377.0140000.3172
0.20068.0160000.3303
0.18169.0180000.3422
0.159810.0200000.3492

Framework versions

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