bert-base-multilingual-cased-Confusion-mlm-20230608

soBeauty/bert-base-multilingual-cased-Confusion-mlm-20230608

bert-base-multilingual-cased-Confusion-mlm-20230608 is a fill-mask model from soBeauty. Use it when you need the model to fill a missing word. 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: Fill-Mask
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 8, 2023
Updated: Jun 10, 2023
SHA: 46279e13

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Model card

From the Hugging Face model README

bert-base-multilingual-cased-Confusion-mlm-20230608

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:

Accuracy: 0.87
Loss: 0.5055

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: 10

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
No log	1.0	130	0.8484	0.5758
No log	2.0	260	0.8732	0.4905
No log	3.0	390	0.8167	0.7089
0.7982	4.0	520	0.8218	0.6256
0.7982	5.0	650	0.8032	0.7806
0.7982	6.0	780	0.8786	0.5093
0.7982	7.0	910	0.8415	0.5859
0.7519	8.0	1040	0.8435	0.5756
0.7519	9.0	1170	0.8608	0.4605
0.7519	10.0	1300	0.87	0.5055

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 8, 2023
Updated: Jun 10, 2023