roberta-base-finetuned-classification

ThomasLI/roberta-base-finetuned-classification

roberta-base-finetuned-classification is a text classification model from ThomasLI. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

425

Public

Repo size

3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin499 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Mar 2, 2023
Updated: Mar 2, 2023
SHA: 492c0c98

Try a prompt

Model card

From the Hugging Face model README

roberta-base-finetuned-classification

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

Loss: 0.3212
Accuracy: 0.8725

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
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	Accuracy
No log	1.0	200	0.3870	0.8287
No log	2.0	400	0.3212	0.8725
0.3583	3.0	600	0.3910	0.86
0.3583	4.0	800	0.6661	0.8237
0.1495	5.0	1000	0.7024	0.8213

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 2, 2023
Updated: Mar 2, 2023