roberta-base-qnli

JeremiahZ/roberta-base-qnli

roberta-base-qnli is a text classification model from JeremiahZ. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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Model card

From the Hugging Face model README

roberta-base-qnli

This model is a fine-tuned version of roberta-base on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.2992
Accuracy: 0.9246

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2986	1.0	6547	0.2215	0.9171
0.243	2.0	13094	0.2321	0.9173
0.2048	3.0	19641	0.2992	0.9246
0.1629	4.0	26188	0.3538	0.9220
0.1308	5.0	32735	0.3533	0.9209
0.0846	6.0	39282	0.4277	0.9229

Framework versions

Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Languages: en
Created: Jun 14, 2022
Updated: Sep 24, 2023