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nhankins/
es_xlmroberta_lora_adapter_1.0

Name: es_xlmroberta_lora_adapter_1.0
Availability: InStock

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xlm-roberta-large-lora-text-classification

This model is a fine-tuned version of FacebookAI/xlm-roberta-large 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	372	0.6553	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6758	2.0	744	0.6534	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6765	3.0	1116	0.6518	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6765	4.0	1488	0.6519	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6722	5.0	1860	0.6470	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6654	6.0	2232	0.6425	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6626	7.0	2604	0.6419	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6626	8.0	2976	0.6404	0.6371	0.9958	{'accuracy': 0.6353887399463807, 'f1': 0.7770491803278688}
0.6547	9.0	3348	0.6356	0.6381	1.0	{'accuracy': 0.6380697050938338, 'f1': 0.779050736497545}
0.6544	10.0	3720	0.6343	0.6371	0.9958	{'accuracy': 0.6353887399463807, 'f1': 0.7770491803278688}