bert-base-uncased-stsb

JeremiahZ/bert-base-uncased-stsb

bert-base-uncased-stsb 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 apache-2.0.

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

Downloads · 30 days

1% of all-time downloads

All-time downloads

4.8K

Public

Parameters

109M

1.3 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin438 MB · 50%

Parameter types

How the weights are stored.

F32109M · 100%

Try a prompt

Base models

Datasets

glue

Model card

From the Hugging Face model README

bert-base-uncased-stsb

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

Loss: 0.5144
Pearson: 0.8875
Spearmanr: 0.8843
Combined Score: 0.8859

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
No log	1.0	180	0.5179	0.8806	0.8735	0.8771
No log	2.0	360	0.5145	0.8850	0.8820	0.8835
0.7868	3.0	540	0.5144	0.8875	0.8843	0.8859

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: bert
License: apache-2.0
Languages: en
Created: Jun 21, 2022
Updated: Sep 24, 2023