nli_mbert

jalaluddin94/nli_mbert

nli_mbert is a text classification model from jalaluddin94. 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: May 15, 2023
Updated: Jun 4, 2023
SHA: 4dd6d800

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Model card

From the Hugging Face model README

nli_mbert

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

Loss: 1.6569
Accuracy: 0.7419
Precision: 0.7419
Recall: 0.7419
F1 Score: 0.7426

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: 3e-06
train_batch_size: 1
eval_batch_size: 1
seed: 101
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	Accuracy	Precision	Recall	F1 Score
1.403	1.0	10330	1.3860	0.7128	0.7128	0.7128	0.7142
1.3213	2.0	20660	1.3367	0.7365	0.7365	0.7365	0.7371
1.1611	3.0	30990	1.4699	0.7396	0.7396	0.7396	0.7406
1.0222	4.0	41320	1.6050	0.7374	0.7374	0.7374	0.7383
0.9008	5.0	51650	1.6569	0.7419	0.7419	0.7419	0.7426

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 15, 2023
Updated: Jun 4, 2023