bert-base-uncased-finetuned-swag

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3225
• Accuracy: 0.7750

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: 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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6562	1.0	4597	0.6126	0.7651
0.2734	2.0	9194	0.7739	0.7702
0.0846	3.0	13791	1.3225	0.7750

Framework versions

• Transformers 4.36.2
• Pytorch 2.0.1+cu117
• Datasets 2.16.1
• Tokenizers 0.15.0