my_awesome_qa_model

Niklas25/my_awesome_qa_model

my_awesome_qa_model is a question answering model from Niklas25. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

12% of all-time downloads

All-time downloads

Public

Repo size

796 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin265 MB · 100%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Feb 25, 2023
Updated: Feb 25, 2023
SHA: e19bce49

Try a prompt

Model card

From the Hugging Face model README

my_awesome_qa_model

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

Loss: 4.0715

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	37	4.1103
No log	2.0	74	3.9785
No log	3.0	111	3.8233
No log	4.0	148	3.7477
No log	5.0	185	3.8200
No log	6.0	222	3.8821
No log	7.0	259	3.9189
No log	8.0	296	4.0071
No log	9.0	333	4.0935
No log	10.0	370	4.0715

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Feb 25, 2023
Updated: Feb 25, 2023