new-QA

cgt/new-QA

new-QA is a question answering model from cgt. 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-nc-sa-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-nc-sa-4.0
Model type: bert
Access: Public
Created: Dec 10, 2022
Updated: Dec 10, 2022
SHA: 0fdcb9db

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Model card

From the Hugging Face model README

new-QA

This model is a fine-tuned version of hfl/chinese-pert-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5158

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: 32
eval_batch_size: 32
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	12	4.9940
No log	2.0	24	3.9417
No log	3.0	36	3.1311
No log	4.0	48	2.4780
No log	5.0	60	2.2296
No log	6.0	72	1.9246
No log	7.0	84	1.6536
No log	8.0	96	1.7087
No log	9.0	108	1.6027
No log	10.0	120	1.5158

Framework versions

Transformers 4.23.1
Pytorch 1.10.0+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Question Answering
Library: transformers
Type: bert
License: cc-by-nc-sa-4.0
Created: Dec 10, 2022
Updated: Dec 10, 2022