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nhankins/
zh_xlmroberta_lora_adapter_1.0

Name: zh_xlmroberta_lora_adapter_1.0
Availability: InStock

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xlm-roberta-base-lora-text-classification

This model is a fine-tuned version of FacebookAI/xlm-roberta-base 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	0.5787	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5822	2.0	802	0.5722	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.586	3.0	1203	0.5636	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5504	4.0	1604	0.5513	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5661	5.0	2005	0.5451	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5661	6.0	2406	0.5332	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5562	7.0	2807	0.5329	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5354	8.0	3208	0.5252	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5575	9.0	3609	0.5149	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}
0.5301	10.0	4010	0.5131	0.7307	1.0	{'accuracy': 0.7306733167082294, 'f1': 0.8443804034582133}