bert-base-uncased-finetuned-swag

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

• Loss: 1.0986
• Accuracy: 0.3642

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1039	1.0	3058	1.0983	0.3779
1.0995	2.0	6116	1.0986	0.3544
1.1029	3.0	9174	1.0986	0.3642

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2