MTL-bert-base-uncased

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

  • eval_loss: 6.4337
  • eval_runtime: 15.4115
  • eval_samples_per_second: 45.096
  • eval_steps_per_second: 5.645
  • epoch: 9.11
  • step: 7152

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: 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: 15

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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