phrasebank-sentiment-analysis

sschangi/phrasebank-sentiment-analysis

phrasebank-sentiment-analysis is a text classification model from sschangi. 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: bert
Access: Public
Created: Oct 25, 2023
Updated: Oct 28, 2023
SHA: 192b27e0

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Base models

Datasets

financial_phrasebank

Model card

From the Hugging Face model README

phrasebank-sentiment-analysis

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

Loss: 0.5439
F1: 0.8397
Accuracy: 0.8556

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.6379	0.94	100	0.4414	0.7871	0.8129
0.3052	1.89	200	0.3954	0.8452	0.8590
0.163	2.83	300	0.5131	0.8332	0.8556
0.0816	3.77	400	0.5439	0.8397	0.8556

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 25, 2023
Updated: Oct 28, 2023