mlm-20230427-mBERT-001 – AI Model by intanm | AlphaNeural AI

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mlm-20230427-mBERT-001

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mlm-20230427-mBERT-001

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

Loss: 1.2986

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	Validation Loss
No log	1.0	456	1.6870
1.9828	2.0	912	1.5792
1.6989	3.0	1368	1.5310
1.5799	4.0	1824	1.4767
1.5121	5.0	2280	1.4764
1.4296	6.0	2736	1.4229
1.4003	7.0	3192	1.4218
1.3362	8.0	3648	1.3958
1.2939	9.0	4104	1.3676
1.2728	10.0	4560	1.3148
1.2287	11.0	5016	1.3248
1.2287	12.0	5472	1.3261
1.1992	13.0	5928	1.3410
1.1848	14.0	6384	1.3363
1.1732	15.0	6840	1.2992
1.1355	16.0	7296	1.2697
1.1391	17.0	7752	1.3066
1.1258	18.0	8208	1.2765
1.1088	19.0	8664	1.2974
1.0953	20.0	9120	1.2935

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3