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cshim-cmu/
k10v2

Name: k10v2
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k10v2

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:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf	Gen Len
2.4282	0.09	1000	1.3562	0.9686	11.8032	13.2022
1.2674	0.18	2000	1.0894	1.0124	11.7535	14.4396
1.1507	0.27	3000	1.0218	0.8333	11.4639	16.4819
1.098	0.36	4000	0.9785	0.7462	11.2415	18.5433
1.0555	0.45	5000	0.9437	0.502	10.8991	26.508
1.003	0.54	6000	0.9145	0.4373	10.1084	41.1911