finetuning-Twitter-sentiment-model

PelagiaKalpakidou/finetuning-Twitter-sentiment-model

finetuning-Twitter-sentiment-model is a text classification model from PelagiaKalpakidou. 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

14% of all-time downloads

All-time downloads

Public

Parameters

67M

5.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors268 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Dec 28, 2023
Updated: Dec 28, 2023
SHA: fdaa04fb

Try a prompt

Base models

Model card

From the Hugging Face model README

finetuning-Twitter-sentiment-model

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

Loss: 2.2958
Accuracy: 0.7471
Precision: 0.7506
Recall: 0.7471
F1: 0.7468

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0367	1.0	606	2.3678	0.7496	0.7642	0.7496	0.7484
0.0133	2.0	1212	2.2958	0.7471	0.7506	0.7471	0.7468

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 28, 2023
Updated: Dec 28, 2023