bert-base-cased-wikitext2

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

• eval_loss: 9.1420
• eval_runtime: 18.4655
• eval_samples_per_second: 108.798
• eval_steps_per_second: 13.647
• epoch: 0.01
• step: 27

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: 3.0

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3