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kghanlon/non_green_as_train_contextroberta-large_final

sourceHugging Facemitupdated 3y agoView on Hugging Face
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nongreenastraincontextroberta-large_final

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: 0.1008
  • Accuracy: 0.9769
  • Recall: 0.6932
  • F1: 0.6943

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: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyRecallF1
0.06641.077390.08620.96580.80420.6396
0.05772.0154780.10600.97680.67410.6869
0.03373.0232170.10080.97690.69320.6943

Framework versions

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