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HBERTv1_48_L2_H128_A2_ffn_5

This model is a fine-tuned version of on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 6.0220
  • Accuracy: 0.1500

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: 1e-05
  • train_batch_size: 160
  • eval_batch_size: 160
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10000
  • num_epochs: 100

Training results

Framework versions

  • Transformers 4.34.1
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Dataset used to train gokuls/HBERTv1_48_L2_H128_A2_ffn_5

Evaluation results

  • Accuracy on gokuls/wiki_book_corpus_complete_processed_bert_dataset
    self-reported
    0.150