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vdavidr/
Artigenz-Coder-DS-6.7B_Fi__translations_size_104_epochs_10_2024-06-21_23-22-47_3557638

Name: Artigenz-Coder-DS-6.7B_Fi__translations_size_104_epochs_10_2024-06-21_23-22-47_3557638
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Artigenz-Coder-DS-6.7B_Fi__translations_size_104_epochs_10_2024-06-21_23-22-47_3557638

This model is a fine-tuned version of Artigenz/Artigenz-Coder-DS-6.7B on an unknown 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	Accuracy	Chrf	Bleu	Sacrebleu	Rouge1	Rouge2	Rougel	Rougelsum	Meteor
0.1488	4.0	104	1.1476	0.024	0.727	0.608	0.6	0.69	0.485	0.629	0.684	0.537
0.0978	8.0	208	1.1940	0.014	0.721	0.6	0.6	0.675	0.466	0.607	0.668	0.53
0.1307	12.0	312	1.3964	0.017	0.708	0.596	0.6	0.677	0.464	0.612	0.668	0.532
0.5772	16.0	416	1.6675	0.02	0.71	0.62	0.6	0.697	0.5	0.635	0.691	0.529
0.1787	20.0	520	2.0574	0.043	0.664	0.556	0.6	0.65	0.429	0.586	0.642	0.493
0.2195	24.0	624	2.4599	0.038	0.624	0.533	0.5	0.623	0.395	0.57	0.616	0.461
1.0463	28.0	728	2.7031	0.029	0.564	0.468	0.5	0.569	0.33	0.513	0.559	0.436
0.2775	32.0	832	2.8662	0.038	0.551	0.469	0.5	0.56	0.303	0.504	0.549	0.422
0.3616	36.0	936	2.9521	0.037	0.535	0.446	0.4	0.524	0.27	0.479	0.516	0.415
0.3042	40.0	1040	2.9722	0.038	0.522	0.437	0.4	0.515	0.259	0.472	0.507	0.41