bert-base-multilingual-uncased-sentiment-finetuned-mnli

kashing555/bert-base-multilingual-uncased-sentiment-finetuned-mnli

bert-base-multilingual-uncased-sentiment-finetuned-mnli is a text classification model from kashing555. 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.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Oct 28, 2022
Updated: Oct 30, 2022
SHA: 796557fb

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Model card

From the Hugging Face model README

bert-base-multilingual-uncased-sentiment-finetuned-mnli

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7086
Accuracy: 0.7212

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6761	1.0	4500	0.6821	0.7091
0.531	2.0	9000	0.7086	0.7212

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Oct 28, 2022
Updated: Oct 30, 2022