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FragZONFactMetaRecommendation

This model is a fine-tuned version of deepset/gbert-large on the beta dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4128
  • Accuracy: 0.9205

Model description

Fine-tuned gbert on queries

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.171 1.0 76 0.4003 0.9139
0.1154 2.0 152 0.4128 0.9205

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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