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nhankins/
zh_distilbert_lora_adapter_1.0

Name: zh_distilbert_lora_adapter_1.0
Availability: InStock

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distilbert-base-multilingual-cased-lora-text-classification

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

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1 and accuracy
No log	1.0	401	0.6017	0.7157	1.0	{'accuracy': 0.71571072319202, 'f1': 0.8343023255813953}
0.5798	2.0	802	0.5967	0.7157	1.0	{'accuracy': 0.71571072319202, 'f1': 0.8343023255813953}
0.5546	3.0	1203	0.5722	0.7157	1.0	{'accuracy': 0.71571072319202, 'f1': 0.8343023255813953}
0.5403	4.0	1604	0.5624	0.7259	0.9965	{'accuracy': 0.7281795511221946, 'f1': 0.8399412628487517}
0.5206	5.0	2005	0.5597	0.7368	0.9756	{'accuracy': 0.7331670822942643, 'f1': 0.8395802098950524}
0.5206	6.0	2406	0.5588	0.7520	0.9617	{'accuracy': 0.7456359102244389, 'f1': 0.8440366972477064}
0.5153	7.0	2807	0.5679	0.7554	0.9686	{'accuracy': 0.7531172069825436, 'f1': 0.8488549618320611}
0.4959	8.0	3208	0.5693	0.7576	0.9582	{'accuracy': 0.7506234413965087, 'f1': 0.8461538461538461}
0.4801	9.0	3609	0.5466	0.7635	0.9338	{'accuracy': 0.7456359102244389, 'f1': 0.8401253918495297}
0.4949	10.0	4010	0.5474	0.7635	0.9338	{'accuracy': 0.7456359102244389, 'f1': 0.8401253918495297}