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distilbert-base-uncased-finetuned-imdb

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

  • Loss: 2.5173

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: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 40 2.5471
No log 2.0 80 2.4606
No log 3.0 120 2.5469

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.1
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Dataset used to train spasis/distilbert-base-uncased-finetuned-imdb