shreya_sentence_truth_predictor2

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: 0.4682
• Accuracy: 0.8895

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5813	1.0	875	0.3567	0.853
0.3069	2.0	1750	0.4188	0.8725
0.1812	3.0	2625	0.4682	0.8895

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Tokenizers 0.13.2