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pr_dataset_metadata

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

  • eval_loss: 0.6216
  • eval_accuracy: 1.0
  • eval_runtime: 0.4472
  • eval_samples_per_second: 2.236
  • eval_steps_per_second: 2.236
  • step: 0

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: not_parallel
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Framework versions

  • Transformers 4.21.0.dev0
  • Pytorch 1.11.0+cu102
  • Datasets 2.0.0
  • Tokenizers 0.12.1
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Dataset used to train loicmagne/pr_dataset_metadata

Evaluation results