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YanJiangJerry/
SA-roberta-e12-w1-1.5-b16-mt4-w0.01

Name: SA-roberta-e12-w1-1.5-b16-mt4-w0.01
Availability: InStock

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SA-roberta-e12-w1-1.5-b16-mt4-w0.01

This model is a fine-tuned version of Amalq/autotrain-smm4h_large_roberta_clean-874027878 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	Accuracy	F1	Precision	Recall
No log	1.0	285	0.2656	0.886	0.9059	0.8472	0.9734
0.2593	2.0	570	0.1967	0.938	0.9453	0.9404	0.9504
0.2593	3.0	855	0.2726	0.925	0.9353	0.9109	0.9610
0.1239	4.0	1140	0.3039	0.942	0.9481	0.9567	0.9397
0.1239	5.0	1425	0.3721	0.935	0.9421	0.9463	0.9379
0.053	6.0	1710	0.4110	0.939	0.9458	0.9483	0.9433
0.053	7.0	1995	0.4106	0.941	0.9481	0.9407	0.9557
0.0183	8.0	2280	0.4839	0.94	0.9470	0.9437	0.9504
0.0004	9.0	2565	0.4994	0.945	0.9516	0.9442	0.9592
0.0004	10.0	2850	0.5032	0.943	0.9496	0.9471	0.9521
0.0026	11.0	3135	0.5092	0.946	0.9523	0.9489	0.9557
0.0026	12.0	3420	0.5163	0.946	0.9523	0.9489	0.9557