bert-base-uncased-finetuned_for_sentiment_analysis1-sst2

Ghost1/bert-base-uncased-finetuned_for_sentiment_analysis1-sst2

bert-base-uncased-finetuned_for_sentiment_analysis1-sst2 is a text classification model from Ghost1. 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

919

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin438 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: May 5, 2022
Updated: May 5, 2022
SHA: f4148265

Try a prompt

Datasets

glue

Spaces

sachiniyer/toxic-tweets

Model card

From the Hugging Face model README

bert-base-uncased-finetuned_for_sentiment_analysis1-sst2

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

Loss: 0.4723
Accuracy: 0.8853

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: 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	63	0.3697	0.8544
No log	2.0	126	0.2904	0.8956
No log	3.0	189	0.4000	0.8830
No log	4.0	252	0.4410	0.8911
No log	5.0	315	0.4723	0.8853

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 5, 2022
Updated: May 5, 2022