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sercetexam9/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli-strategy3-fold-4

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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roberta-large-snlimnlifeveranliR1R2R3-nli-strategy3-fold-4

This model is a fine-tuned version of ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5433
  • —Accuracy: 0.8123
  • —F1 Macro: 0.8123

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: 2
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 16
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracyF1 Macro
0.61111.03830.61080.78610.7873
0.46542.07660.54330.81230.8123

Framework versions

  • —Transformers 4.56.2
  • —Pytorch 2.8.0+cu128
  • —Datasets 4.1.1
  • —Tokenizers 0.22.1