bert-base-multilingual-cased-Confusion-mlm-20230608 – AI Model by soBeauty | AlphaNeural AI

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

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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