You can deploy this model and start earning money today!

NightMachinery/
lang_adapter_fa_twitter_xlm_roberta_base_pfeiffer

Name: lang_adapter_fa_twitter_xlm_roberta_base_pfeiffer
Availability: InStock

Views

No views yet

lang_adapter_fa_twitter_xlm_roberta_base_pfeiffer

This model is a fine-tuned version of xlm-roberta-base 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
3.0195	0.48	500	1.7864	0.6289
2.3543	0.95	1000	1.7252	0.6366
2.2612	1.43	1500	1.7230	0.6363
2.2055	1.9	2000	1.6968	0.6415
2.1811	2.38	2500	1.6875	0.6413
2.1813	2.85	3000	1.6890	0.6419
2.1657	3.33	3500	1.6684	0.6453
2.1375	3.81	4000	1.6591	0.6486
2.1516	4.28	4500	1.6674	0.6452
2.1363	4.76	5000	1.6691	0.6423
2.1235	5.23	5500	1.6573	0.6465
2.132	5.71	6000	1.6597	0.6433
2.1043	6.18	6500	1.6370	0.6521
2.127	6.66	7000	1.6723	0.6446
2.1116	7.14	7500	1.6521	0.6450
2.0916	7.61	8000	1.6538	0.6492
2.105	8.09	8500	1.6380	0.6492
2.0921	8.56	9000	1.6747	0.6429
2.0929	9.04	9500	1.6496	0.6449
2.0915	9.51	10000	1.6552	0.6460
2.0715	9.99	10500	1.6649	0.6444