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domenicrosati/SPECTER-with-biblio-context-finetuned-review_classifier

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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SPECTER-with-biblio-context-finetuned-review_classifier

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

  • —Loss: 0.1284
  • —Accuracy: 0.962
  • —F1: 0.7892
  • —Recall: 0.7593
  • —Precision: 0.8216

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: 4.5e-05
  • —trainbatchsize: 12
  • —evalbatchsize: 12
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1RecallPrecision
0.19561.066670.18050.95140.72570.68600.7702
0.1352.0133340.12840.9620.78920.75930.8216

Framework versions

  • —Transformers 4.20.1
  • —Pytorch 1.12.0+cu102
  • —Datasets 2.3.2
  • —Tokenizers 0.12.1