ft-bert-base-uncased-for-sentiment-classification

aisuko/ft-bert-base-uncased-for-sentiment-classification

ft-bert-base-uncased-for-sentiment-classification is a machine learning model from aisuko. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

24% of all-time downloads

All-time downloads

Public

Parameters

109M

438 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors438 MB · 100%

At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Sep 22, 2024
Updated: Sep 22, 2024
SHA: 3e930e0e

Base models

Datasets

financial_phrasebank

Model card

From the Hugging Face model README

ft-bert-base-uncased-for-sentiment-classification

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

Loss: 0.1120

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1649	1.0	128	0.1319
0.1322	2.0	256	0.1232
0.0092	3.0	384	0.1120

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Sep 22, 2024
Updated: Sep 22, 2024