BERT_MC_OpenBookQA

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

• Loss: 1.8077
• Accuracy: 0.654

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8972	1.61	500	0.9912	0.636
0.2906	3.23	1000	1.4448	0.654
0.07	4.84	1500	1.8077	0.654

Framework versions

• Transformers 4.21.3
• Pytorch 1.12.1
• Datasets 2.5.1
• Tokenizers 0.11.0