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bert-finetuned-imdb-sentiment

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

  • Loss: 0.3405
  • F1: 0.9171

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: 8
  • eval_batch_size: 8
  • 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 F1
0.2966 1.0 3125 0.2795 0.8854
0.1681 2.0 6250 0.2801 0.9118
0.0724 3.0 9375 0.3405 0.9171

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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Dataset used to train lyrisha/bert-finetuned-imdb-sentiment

Evaluation results