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fanpu/model_output_original_subreddit-wallstreetbets_1

sourceHugging Facemitupdated 4y agoView on Hugging Face
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modeloutputoriginalsubreddit-wallstreetbets1

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

  • —Loss: 3.5436

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: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
3.89430.2510003.8122
3.7990.520003.7199
3.74250.7530003.6688
3.69381.040003.6269
3.5431.2550003.5972
3.54171.560003.5657
3.51221.7570003.5477
3.48571.9980003.5436

Framework versions

  • —Transformers 4.24.0
  • —Pytorch 1.13.0+cu117
  • —Datasets 2.7.1
  • —Tokenizers 0.13.2