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soBeauty/
distilbert-base-multilingual-cased-distilbert_mlm-20230603

Name: distilbert-base-multilingual-cased-distilbert_mlm-20230603
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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distilbert-base-multilingual-cased-distilbert_mlm-20230603

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: 0.9199
Loss: 0.3297

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	0.9035	0.3341
No log	2.0	260	0.9288	0.2137
No log	3.0	390	0.9150	0.3078
0.3659	4.0	520	0.9301	0.3323
0.3659	5.0	650	0.8896	0.4231
0.3659	6.0	780	0.9414	0.2144
0.3659	7.0	910	0.9333	0.2529
0.3935	8.0	1040	0.9192	0.2802
0.3935	9.0	1170	0.9274	0.3097
0.3935	10.0	1300	0.9182	0.3077
0.3935	11.0	1430	0.9153	0.2983
0.3835	12.0	1560	0.9136	0.2692
0.3835	13.0	1690	0.9524	0.1930
0.3835	14.0	1820	0.9412	0.2278
0.3835	15.0	1950	0.9657	0.1305
0.3327	16.0	2080	0.8980	0.3051
0.3327	17.0	2210	0.9485	0.1348
0.3327	18.0	2340	0.9381	0.2765
0.3327	19.0	2470	0.9477	0.2165
0.3238	20.0	2600	0.9199	0.3297

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

soBeauty/distilbert-base-multilingual-cased-distilbert_mlm-20230603

distilbert-base-multilingual-cased-distilbert_mlm-20230603

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

soBeauty/
distilbert-base-multilingual-cased-distilbert_mlm-20230603