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klue-bert-finetuned-nsmc

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

  • eval_loss: 0.2402
  • eval_accuracy: 0.9029
  • eval_f1: 0.9029
  • eval_runtime: 343.6707
  • eval_samples_per_second: 145.488
  • eval_steps_per_second: 4.548
  • epoch: 1.0
  • step: 4688

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Framework versions

  • Transformers 4.13.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.8.0
  • Tokenizers 0.10.3
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Dataset used to train PlayDev/klue-bert-finetuned-nsmc