my_qa_model

Koltunov-Matthew/my_qa_model

my_qa_model is a question answering model from Koltunov-Matthew. 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. --

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Apr 23, 2023
Updated: Apr 24, 2023
SHA: 9af8af61

Try a prompt

Model card

From the Hugging Face model README

my_qa_model

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

Loss: 0.5865

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: 0.0002
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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	96	0.6101
No log	2.0	192	0.3681
No log	3.0	288	0.3647
No log	4.0	384	0.3718
No log	5.0	480	0.3506
0.4973	6.0	576	0.3861
0.4973	7.0	672	0.4109
0.4973	8.0	768	0.5558
0.4973	9.0	864	0.5509
0.4973	10.0	960	0.4134
0.1005	11.0	1056	0.4974
0.1005	12.0	1152	0.5251
0.1005	13.0	1248	0.6089
0.1005	14.0	1344	0.5672
0.1005	15.0	1440	0.5865

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Apr 23, 2023
Updated: Apr 24, 2023