bert_finetuned_senti

Wolverine001/bert_finetuned_senti

bert_finetuned_senti is a text classification model from Wolverine001. 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.

This model was fine-tuned for sentiment classification.

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jan 31, 2025
Updated: Jan 31, 2025
SHA: 0d9dcc39

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Base models

google-bert/bert-base-uncased

Datasets

twitter-sentiment

Model card

From the Hugging Face model README

Fine-Tuned BERT Sentiment Model

This model was fine-tuned for sentiment classification.

Pre-trained model used: google-bert/bert-base-uncased.
Dataset used: twitter-sentiment.
max_length = 128
batch_size = 8
learning_rate = 1e-4
epochs = 3

Evaluation Results

📌 Before Fine-Tuning

Accuracy: 0.4046

Class	Precision	Recall	F1-Score	Support
Negative	0.00	0.00	0.00	1001
Neutral	0.40	1.00	0.58	1430
Positive	0.00	0.00	0.00	1103
Macro Avg	0.13	0.33	0.19	3534
Weighted Avg	0.16	0.40	0.23	3534

✅ After Fine-Tuning

Accuracy: 0.6095

Class	Precision	Recall	F1-Score	Support
Negative	0.82	0.29	0.42	1001
Neutral	0.51	0.89	0.65	1430
Positive	0.85	0.54	0.66	1103
Macro Avg	0.73	0.57	0.58	3534
Weighted Avg	0.70	0.61	0.59	3534

You can download the model from Hugging Face.

Task: Text Classification
Library: transformers
Type: bert
License: mit
Languages: en
Created: Jan 31, 2025
Updated: Jan 31, 2025