QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08

am-infoweb/QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08

QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08 is a question answering model from am-infoweb. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.

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

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At a glance

Task: Question Answering
Library: transformers
License: cc-by-4.0
Model type: roberta
Access: Public
Created: Aug 15, 2023
Updated: Aug 15, 2023
SHA: 717eff38

Try a prompt

Base models

deepset/roberta-base-squad2

Model card

From the Hugging Face model README

QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9623

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: 2
eval_batch_size: 2
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
0.8848	1.0	9137	0.8389
0.7753	2.0	18274	0.7794
0.7765	3.0	27411	0.8597
0.8242	4.0	36548	0.8571
0.6728	5.0	45685	0.9071
0.7219	6.0	54822	0.7628
0.6047	7.0	63959	0.9108
0.6137	8.0	73096	0.8685
0.5439	9.0	82233	0.8586
0.5387	10.0	91370	0.9623

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: roberta
License: cc-by-4.0
Created: Aug 15, 2023
Updated: Aug 15, 2023