IOTNation_CompanyName_Extraction_QA_Model_1.2_Roberta

chriskim2273/IOTNation_CompanyName_Extraction_QA_Model_1.2_Roberta

IOTNation_CompanyName_Extraction_QA_Model_1.2_Roberta is a question answering model from chriskim2273. 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: Jul 3, 2023
Updated: Jul 3, 2023
SHA: 2ef4a202

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Model card

From the Hugging Face model README

IOTNation_CompanyName_Extraction_QA_Model_1.2_Roberta

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7219

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: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	45	0.5443
No log	2.0	90	0.6332
No log	3.0	135	0.6942
No log	4.0	180	0.6725
No log	5.0	225	0.7219

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: roberta
License: cc-by-4.0
Created: Jul 3, 2023
Updated: Jul 3, 2023