bert-base-uncased-wiki

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

• Loss: 1.7509

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

Training results

Training Loss	Epoch	Step	Validation Loss
1.9294	1.0	2319	1.7732
1.8219	2.0	4638	1.7363
1.7957	3.0	6957	1.7454

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0
• Datasets 1.18.3
• Tokenizers 0.11.0