boolq_finetuned

This model is a fine-tuned version of SG1123/boolq_model_v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1470

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: 1e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	18	0.1415
No log	2.0	36	0.1653
No log	3.0	54	0.1687
No log	4.0	72	0.1677
No log	5.0	90	0.1470

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0