output

This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset.

Model description

This model gives the result of LABEL_1 if the given sentences are positive, and LABEL_0 if they are negative, together with the calculated probabality values.

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: 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: 5

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Dataset used to train MelikeDulkadir/output