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

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.8621

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-07
• 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	8	5.1548
No log	2.0	16	5.0880
No log	3.0	24	5.0328
No log	4.0	32	4.9861
No log	5.0	40	4.9462
No log	6.0	48	4.9150
No log	7.0	56	4.8909
No log	8.0	64	4.8751
No log	9.0	72	4.8656
No log	10.0	80	4.8621

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3