You can deploy this model and start earning money today!

apwic/
sentiment-lora-r16

Name: sentiment-lora-r16
Availability: InStock

Views

No views yet

sentiment-lora-r16

This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.5544	1.0	122	0.5252	0.7218	0.6705	0.6807	0.6746
0.4974	2.0	244	0.4521	0.7845	0.7792	0.6650	0.6840
0.4206	3.0	366	0.3642	0.8296	0.8034	0.7694	0.7829
0.3657	4.0	488	0.3376	0.8471	0.8184	0.8068	0.8122
0.3188	5.0	610	0.3198	0.8496	0.8202	0.8136	0.8167
0.3069	6.0	732	0.3127	0.8546	0.8239	0.8272	0.8255
0.2838	7.0	854	0.3053	0.8672	0.8449	0.8285	0.8360
0.2699	8.0	976	0.2976	0.8747	0.8647	0.8238	0.8404
0.2614	9.0	1098	0.2887	0.8647	0.8398	0.8292	0.8342
0.2515	10.0	1220	0.2852	0.8596	0.8316	0.8282	0.8298
0.2453	11.0	1342	0.2800	0.8697	0.8411	0.8478	0.8443
0.236	12.0	1464	0.2718	0.8797	0.8633	0.8399	0.8502
0.227	13.0	1586	0.2712	0.8797	0.8560	0.8524	0.8541
0.227	14.0	1708	0.2757	0.8697	0.8386	0.8603	0.8479
0.2171	15.0	1830	0.2708	0.8822	0.8530	0.8742	0.8622
0.214	16.0	1952	0.2632	0.8872	0.8658	0.8602	0.8629
0.2124	17.0	2074	0.2639	0.8822	0.8574	0.8592	0.8583
0.2166	18.0	2196	0.2632	0.8872	0.8645	0.8627	0.8636
0.2086	19.0	2318	0.2630	0.8822	0.8585	0.8567	0.8575
0.2113	20.0	2440	0.2631	0.8872	0.8658	0.8602	0.8629