my_awesome_swag_model

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

• Loss: 1.1711
• Accuracy: 0.746

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
0.8738	1.0	625	0.6888	0.728
0.431	2.0	1250	0.7642	0.736
0.1891	3.0	1875	1.1711	0.746

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3