bert-base-multilingual-cased-Confusion-mlm-20230603 – AI Model by soBeauty | AlphaNeural AI

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soBeauty/
bert-base-multilingual-cased-Confusion-mlm-20230603

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bert-base-multilingual-cased-Confusion-mlm-20230603

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: 0.5723
Loss: 1.7609

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: 20

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
3.2882	1.0	130	0.3554	2.9429
2.8803	2.0	260	0.3761	2.6740
2.6044	3.0	390	0.4656	2.2735
2.3907	4.0	520	0.4721	2.3350
2.2612	5.0	650	0.5242	2.0715
2.1133	6.0	780	0.4984	2.1209
2.1048	7.0	910	0.4960	2.0021
1.9521	8.0	1040	0.5224	2.2426
1.9255	9.0	1170	0.5472	1.8786
1.8923	10.0	1300	0.5364	1.9918
1.8296	11.0	1430	0.4738	2.2351
1.7689	12.0	1560	0.5028	2.0691
1.736	13.0	1690	0.5794	1.9221
1.7639	14.0	1820	0.5252	2.0188
1.6555	15.0	1950	0.6012	1.6560
1.6019	16.0	2080	0.5935	1.6369
1.5524	17.0	2210	0.6226	1.6262
1.5182	18.0	2340	0.6211	1.7780
1.5537	19.0	2470	0.5616	1.9577
1.5651	20.0	2600	0.5723	1.7609

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3