tweet_sentiments_analysis_distilbert

KingAsiedu/tweet_sentiments_analysis_distilbert

tweet_sentiments_analysis_distilbert is a text classification model from KingAsiedu. 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. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jul 24, 2023
Updated: Jul 24, 2023
SHA: 01cf2472

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Base models

Model card

From the Hugging Face model README

tweet_sentiments_analysis_distilbert

This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6674
F1-score: 0.7179

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: 5e-05
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
0.7745	1.0	640	0.7382	0.6659
0.6531	2.0	1280	0.6674	0.7179
0.562	3.0	1920	0.7020	0.7375
0.2903	4.0	2560	1.0358	0.7238
0.1816	5.0	3200	1.2948	0.7282

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 24, 2023
Updated: Jul 24, 2023