my_awesome_swag_model

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

• Loss: 0.6314
• Accuracy: 0.8085

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: 64
• eval_batch_size: 64
• 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
0.7538	1.0	1150	0.5543	0.7924
0.415	2.0	2300	0.5361	0.8056
0.1945	3.0	3450	0.6314	0.8085

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.0