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fanpu/model_output_subreddit-wallstreetbets_new

sourceHugging Facemitupdated 4y agoView on Hugging Face
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modeloutputsubreddit-wallstreetbets_new

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.6832

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: 0.0005
  • trainbatchsize: 64
  • evalbatchsize: 64
  • seed: 42
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 1000
  • num_epochs: 5
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
3.89451.1950003.7710
3.67572.39100003.7186
3.51153.58150003.6829
3.36314.77200003.6832

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.13.0+cu117
  • Datasets 2.6.1
  • Tokenizers 0.13.1