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kghanlon/green_as_train_context_roberta-large

sourceHugging Facemitupdated 3y agoView on Hugging Face
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greenastraincontextroberta-large

This model is a fine-tuned version of FacebookAI/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8427
  • Accuracy: 0.8885
  • Recall: 0.5802
  • F1: 0.6533

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: 1e-05
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyRecallF1
0.19271.010120.36910.89160.58640.6620
0.14172.020240.42040.89440.62810.6829
0.09543.030360.55850.89320.61110.6746
0.04474.040480.78880.88900.58490.6563
0.02175.050600.84270.88850.58020.6533

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2