distilbert-base-cased-distilled-squad-finetuned-squad

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on the squad_v2_yash dataset. It achieves the following results on the evaluation set:

• Loss: 0.0088

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	198	0.5409
No log	2.0	396	0.3048
0.9541	3.0	594	0.1764
0.9541	4.0	792	0.1117
0.9541	5.0	990	0.0634
0.3052	6.0	1188	0.0345
0.3052	7.0	1386	0.0229
0.1129	8.0	1584	0.0152
0.1129	9.0	1782	0.0101
0.1129	10.0	1980	0.0088

Framework versions

• Transformers 4.21.0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1