Bert Base Uncased Finetuned Wnli

🚀 bert-base-uncased-finetuned-wnli

This model is a fine - tuned version of [bert - base - uncased](https://huggingface.co/bert - base - uncased) on the glue dataset, which can be used for text classification tasks.

🚀 Quick Start

This model is a fine - tuned version of [bert - base - uncased](https://huggingface.co/bert - base - uncased) on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.6854
• Accuracy: 0.5634

📚 Documentation

Model Information

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: 5

Training results

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.18.0
• Tokenizers 0.10.3

📄 License

This model is licensed under apache - 2.0.