This is real link of this model: https://huggingface.co/docs/transformers/tasks/question_answering

I wrote it to understand the basic logic.

my_awesome_qa_model

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

• Loss: 1.6236

Model description

This model was written using the Hugging Face question_answering site.

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	250	2.1966
2.6617	2.0	500	1.6980
2.6617	3.0	750	1.6236

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1