my_awesome_mc_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: 0.8509
• Accuracy: 0.7357

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	35	1.0527	0.65
No log	2.0	70	0.8225	0.7
No log	3.0	105	0.8509	0.7357

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.2
• Tokenizers 0.13.3