V3_20230929-6-xlm-roberta-base-new

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Accuracy	Validation Loss
4.4638	0.46	200	0.2889	nan
4.1893	0.91	400	0.3536	nan
3.9393	1.37	600	0.3672	nan
3.6824	1.82	800	0.3609	nan
3.5332	2.28	1000	0.4353	nan
3.5164	2.73	1200	0.4039	3.3258
3.3856	3.19	1400	0.4489	2.4897
3.454	3.64	1600	0.4209	3.2397
3.2161	4.1	1800	0.4620	2.7198
3.175	4.56	2000	0.4476	nan
3.1915	5.01	2200	0.4670	2.6543
2.8989	5.47	2400	0.4640	2.8110
2.8575	5.92	2600	0.4848	nan
2.9779	6.38	2800	0.4438	nan
2.9945	6.83	3000	0.4869	2.5596
2.8321	7.29	3200	0.4474	2.5483
2.7283	7.74	3400	0.4553	2.9584
2.7695	8.2	3600	0.4645	2.3643
2.9078	8.66	3800	0.5055	nan
2.6554	9.11	4000	0.5202	2.3099
2.6683	9.57	4200	0.4558	nan
2.7513	10.02	4400	0.5183	2.5005
2.7285	10.48	4600	0.5042	nan
2.5985	10.93	4800	0.5432	2.4976
2.5506	11.39	5000	0.5073	nan
2.5256	11.85	5200	0.5095	2.4731
2.4992	12.3	5400	0.5710	nan
2.5342	12.76	5600	0.5644	nan
2.7334	13.21	5800	0.5241	2.2573
2.6112	13.67	6000	0.5714	1.9512
2.3563	14.12	6200	0.5301	nan
2.4953	14.58	6400	0.5780	2.1766