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ViktorDo/SciBERT-WIKI_Lifecycle_Finetuned

sourceHugging Faceupdated 4y agoView on Hugging Face
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SciBERT-WIKILifecycleFinetuned

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

  • Loss: 0.1142

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: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.09331.020820.1159
0.07822.041640.0935
0.04423.062460.1142

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.2