You can deploy this model and start earning money today!

Saugatkafley/
mbert-Nepali-NER

Name: mbert-Nepali-NER
Availability: InStock

Views

No views yet

mbert-Nepali-NER

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased 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	Precision	Recall	F1	Accuracy
0.3162	0.29	500	0.2577	0.2647	0.0692	0.1098	0.9303
0.205	0.58	1000	0.2505	0.5312	0.1308	0.2099	0.9378
0.176	0.87	1500	0.2241	0.3372	0.2231	0.2685	0.9434
0.1364	1.16	2000	0.2304	0.3125	0.1923	0.2381	0.9473
0.1188	1.44	2500	0.2136	0.25	0.3385	0.2876	0.9413
0.1056	1.73	3000	0.2134	0.3462	0.2769	0.3077	0.9517
0.1002	2.02	3500	0.2207	0.2632	0.3077	0.2837	0.9528
0.0695	2.31	4000	0.2153	0.3041	0.3462	0.3237	0.9524
0.0701	2.6	4500	0.2038	0.2674	0.3538	0.3046	0.9545
0.0649	2.89	5000	0.2090	0.2848	0.3462	0.3125	0.9536
0.0533	3.18	5500	0.2341	0.3913	0.2769	0.3243	0.9546
0.0422	3.47	6000	0.2459	0.4545	0.3077	0.3670	0.9537
0.0396	3.76	6500	0.2389	0.3846	0.3077	0.3419	0.9540
0.0376	4.04	7000	0.2296	0.4091	0.2769	0.3303	0.9550
0.0221	4.33	7500	0.2533	0.3962	0.3231	0.3559	0.9555
0.021	4.62	8000	0.2609	0.3922	0.3077	0.3448	0.9548
0.0251	4.91	8500	0.2462	0.3727	0.3154	0.3417	0.9555