my_awesome_swag_model

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

• Loss: 0.9614
• Accuracy: 0.735

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
No log	1.0	100	0.7715	0.735
No log	2.0	200	0.8293	0.7275
No log	3.0	300	0.9614	0.735

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0
• Datasets 2.14.5
• Tokenizers 0.14.0