bert-base-multilingual-cased-Confusion-mlm-20230605 – AI Model by soBeauty | AlphaNeural AI

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soBeauty/
bert-base-multilingual-cased-Confusion-mlm-20230605

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bert-base-multilingual-cased-Confusion-mlm-20230605

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: 0.5221
Loss: 1.8989

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
No log	1.0	130	0.3587	2.8610
No log	2.0	260	0.4649	2.3133
No log	3.0	390	0.4307	2.4230
2.6029	4.0	520	0.4893	2.3436
2.6029	5.0	650	0.525	2.0247
2.6029	6.0	780	0.5116	2.1448
2.6029	7.0	910	0.5043	2.0569
2.0943	8.0	1040	0.5601	1.8873
2.0943	9.0	1170	0.5206	1.9879
2.0943	10.0	1300	0.5358	2.0974
2.0943	11.0	1430	0.5060	2.0974
1.8388	12.0	1560	0.5839	1.6869
1.8388	13.0	1690	0.5706	1.8915
1.8388	14.0	1820	0.5620	1.7826
1.8388	15.0	1950	0.5274	2.0275
1.7158	16.0	2080	0.5627	1.8270
1.7158	17.0	2210	0.5425	2.0630
1.7158	18.0	2340	0.5884	1.6747
1.7158	19.0	2470	0.55	1.8877
1.5481	20.0	2600	0.5221	1.8989

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3