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Erdenebold/
test-distilbert-base-multilingual-cased

Name: test-distilbert-base-multilingual-cased
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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test-distilbert-base-multilingual-cased

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

Loss: 0.1533
Precision: 0.8783
Recall: 0.9010
F1: 0.8895
Accuracy: 0.9721

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: 16
eval_batch_size: 32
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	Validation Loss	Precision	Recall	F1	Accuracy
0.2124	1.0	477	0.1286	0.8065	0.8469	0.8262	0.9586
0.103	2.0	954	0.1113	0.8374	0.8772	0.8568	0.9663
0.0673	3.0	1431	0.1124	0.8480	0.8810	0.8641	0.9668
0.0474	4.0	1908	0.1165	0.8658	0.8922	0.8788	0.9710
0.0338	5.0	2385	0.1254	0.8664	0.8909	0.8785	0.9692
0.0236	6.0	2862	0.1349	0.8686	0.8954	0.8818	0.9707
0.018	7.0	3339	0.1428	0.8772	0.8991	0.8880	0.9715
0.0133	8.0	3816	0.1505	0.8739	0.8961	0.8849	0.9712
0.0106	9.0	4293	0.1529	0.8812	0.9012	0.8911	0.9720
0.0082	10.0	4770	0.1533	0.8783	0.9010	0.8895	0.9721

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Erdenebold/test-distilbert-base-multilingual-cased

test-distilbert-base-multilingual-cased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Erdenebold/
test-distilbert-base-multilingual-cased