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bert_reviews

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

  • eval_loss: 0.8063
  • eval_accuracy: 0.647
  • eval_runtime: 38.7598
  • eval_samples_per_second: 129.0
  • eval_steps_per_second: 16.125
  • epoch: 0.52
  • step: 13000

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: 1.2e-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
  • training_steps: 20000

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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