CoolFace
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nnisbett/cc-narratives_robertamodel2

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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base_model

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

  • —Loss: 0.9156
  • —F1: 0.7112

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: 2e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
1.02691.0220.97670.3192
0.93722.0440.92330.4689
0.79883.0660.86280.5678
0.61394.0880.85150.6001
0.42265.01100.90940.6003
0.25516.01321.00290.6192
0.14397.01541.03450.6581
0.08728.01761.18250.6431
0.07029.01981.20590.6468
0.049710.02201.20890.6403

Framework versions

  • —Transformers 4.33.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3