bert-base-cased-wikitext2

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

• Loss: 6.9408

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: 16
• eval_batch_size: 16
• 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
7.1683	1.0	1173	7.1091
7.0142	2.0	2346	6.9762
6.9247	3.0	3519	6.9357

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0
• Datasets 2.17.1
• Tokenizers 0.15.2