roberta-finetuned-freeform

maretamasaeva/roberta-finetuned-freeform

roberta-finetuned-freeform is a text classification model from maretamasaeva. 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: Mar 2, 2022
Updated: Mar 29, 2022
SHA: f0d0fd75

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Model card

From the Hugging Face model README

roberta-finetuned-freeform

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

Loss: 0.6989
Accuracy: 0.4668

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6919	1.0	8094	0.6910	0.4668
0.6912	2.0	16188	0.6934	0.4668
0.6904	3.0	24282	0.6976	0.4668
0.6918	4.0	32376	0.6989	0.4668

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 2, 2022
Updated: Mar 29, 2022