distilbert-base-uncased-finetuned-squad-vervio-finetuned-team2

This model is a fine-tuned version of choz/distilbert-base-uncased-finetuned-squad on the squad_v2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.3845

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: 2e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.9166	1.0	8235	1.2542
0.6791	2.0	16470	1.3845

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3