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bert_medium_Goodreads_Books_Reviews

This model is a fine-tuned version of prajjwal1/bert-medium on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8175
  • F1: 0.6058
  • Accuracy: 0.6523

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: 3e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss F1 Accuracy
0.8393 1.0 12657 0.8355 0.5960 0.6430
0.7965 2.0 25314 0.8175 0.6058 0.6523

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2
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