You can deploy this model and start earning money today!

cshim-cmu/
e100-100-100-100-100-100

Name: e100-100-100-100-100-100
Availability: InStock

Views

No views yet

e100-100-100-100-100-100

This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-fi on the None 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	Bleu	Chrf	Gen Len
1.2264	0.09	1000	1.0061	0.2429	5.0833	123.1056
1.1204	0.18	2000	0.9584	0.1088	8.1322	93.3883
1.0766	0.27	3000	0.9355	0.291	9.0824	90.4809
1.0582	0.36	4000	0.9138	0.3802	8.3098	70.1328
1.0449	0.45	5000	0.8992	0.5682	10.7509	58.1831
1.0155	0.54	6000	0.8869	0.3648	12.0326	67.166
1.0086	0.63	7000	0.8812	0.2745	10.7903	91.5463
0.9879	0.72	8000	0.8748	0.3159	13.065	69.5252
0.9864	0.81	9000	0.8683	0.1846	11.5955	104.9859
0.9738	0.9	10000	0.8648	0.2882	12.4265	89.4044
0.961	0.99	11000	0.8647	0.2616	13.0084	89.9356
0.9498	1.08	12000	0.8584	0.3615	13.5193	75.9406
0.9571	1.18	13000	0.8516	0.2453	13.9479	93.5101
0.9481	1.27	14000	0.8481	0.2153	13.3975	91.4215
0.9341	1.36	15000	0.8464	0.2754	12.5757	99.8471
0.9327	1.45	16000	0.8425	0.2517	13.4195	105.4366
0.9307	1.54	17000	0.8396	0.2414	13.7787	90.3833
0.9204	1.63	18000	0.8373	0.2511	13.3563	101.1097