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jialicheng
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bert-base-imdb

Text Classification
Transformers
PyTorch
TensorBoard
bert
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imdb_42

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

  • eval_loss: 0.0003
  • eval_accuracy: 1.0000
  • eval_runtime: 75.737
  • eval_samples_per_second: 330.09
  • eval_steps_per_second: 1.294
  • 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: 32
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Evaluation results

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