NLP_whole_dataseet_2nd

BDAIO/NLP_whole_dataseet_2nd

NLP_whole_dataseet_2nd is a machine learning model from BDAIO. 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. --

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Aug 2, 2024
Updated: Aug 2, 2024
SHA: 856cf8cf

Base models

google-bert/bert-base-multilingual-uncased

Model card

From the Hugging Face model README

NLP_whole_dataseet_2nd

This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0646
Accuracy: 0.9771
Precision: 0.9747
Recall: 0.9741
F1: 0.9738

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2952	1.0	55	0.1311	0.9725	0.9693	0.9690	0.9691
0.1988	2.0	110	0.0827	0.9679	0.9663	0.9632	0.9638
0.1823	3.0	165	0.0595	0.9771	0.9746	0.9712	0.9724
0.1237	4.0	220	0.0646	0.9771	0.9747	0.9741	0.9738

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Aug 2, 2024
Updated: Aug 2, 2024