roberta-large-finetuned-question-v-statement

mafwalter/roberta-large-finetuned-question-v-statement

roberta-large-finetuned-question-v-statement is a text classification model from mafwalter. 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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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Feb 25, 2023
Updated: Feb 26, 2023
SHA: b02ad7de

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Model card

From the Hugging Face model README

roberta-large-finetuned-question-v-statement

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

Loss: 1.7298
Accuracy: 0.6171

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5403	1.0	126909	1.7298	0.6171
1.5305	2.0	253818	1.6721	0.6171

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.0.dev0

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Feb 25, 2023
Updated: Feb 26, 2023