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soBeauty/
distilbert-base-multilingual-cased-Confusion-mlm-202306

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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distilbert-base-multilingual-cased-Confusion-mlm-202306

This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

Accuracy: 0.8282
Loss: 0.6654

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	0.7892	0.7445
No log	2.0	260	0.8013	0.6769
No log	3.0	390	0.7977	0.6356
0.9594	4.0	520	0.7895	0.7486
0.9594	5.0	650	0.7938	0.7193
0.9594	6.0	780	0.8304	0.6777
0.9594	7.0	910	0.8234	0.6646
0.843	8.0	1040	0.8227	0.6509
0.843	9.0	1170	0.7609	0.8298
0.843	10.0	1300	0.8282	0.6654

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

soBeauty/distilbert-base-multilingual-cased-Confusion-mlm-202306

distilbert-base-multilingual-cased-Confusion-mlm-202306

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

soBeauty/
distilbert-base-multilingual-cased-Confusion-mlm-202306