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distilbert-base-uncased-finetuned-quantifier

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7478

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
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
3.2007 1.0 94 2.3496
2.2332 2.0 188 1.8656
2.0141 3.0 282 1.8479

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.1
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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