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ben-yu/roberta-base-finetuned-nlp-letters-TEXT-none-class-weighted

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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roberta-base-finetuned-nlp-letters-TEXT-none-class-weighted

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

  • —Loss: 0.0208
  • —F1: 0.9987

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
No log1.02210.03800.9961
No log2.04420.02750.9961
0.03393.06630.02080.9987
0.03394.08840.01730.9987
0.00085.011050.02280.9987
0.00086.013260.02230.9987
0.07.015470.02210.9987
0.08.017680.02220.9987
0.09.019890.02230.9987
0.010.022100.02230.9987

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1