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test_trainer

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

  • Loss: 0.0039
  • Accuracy: 1.0

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: 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 Accuracy
No log 1.0 17 0.1221 1.0
No log 2.0 34 0.0076 1.0
No log 3.0 51 0.0039 1.0

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Finetuned from

Space using lsb/test_trainer 1