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ArunIcfoss/
nllb-200-1.3B-ICFOSS-Hindi_Malayalam_Translator

Name: nllb-200-1.3B-ICFOSS-Hindi_Malayalam_Translator
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nllb-200-1.3B-ICFOSS-Hindi_Malayalam_Translator

This model is a fine-tuned version of facebook/nllb-200-1.3B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5883
Bleu: 32.3133
Rouge: {'rouge1': 0.4065168353303946, 'rouge2': 0.2762287202150305, 'rougeL': 0.3947284265080875, 'rougeLsum': 0.3952044100349186}
Chrf: {'score': 69.00192526889488, 'char_order': 6, 'word_order': 0, 'beta': 2}

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Bleu	Rouge	Chrf
0.7199	1.0	4698	0.6215	29.8169	{'rouge1': 0.405762448982788, 'rouge2': 0.2722973168668976, 'rougeL': 0.3920717141056125, 'rougeLsum': 0.39226265285587325}	{'score': 67.671645233609, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.6269	2.0	9396	0.5960	31.5169	{'rouge1': 0.4074341383663418, 'rouge2': 0.2754310444010575, 'rougeL': 0.3950826699767377, 'rougeLsum': 0.3954069337543914}	{'score': 68.50668767972792, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.5962	3.0	14094	0.5891	32.4131	{'rouge1': 0.4065168353303946, 'rouge2': 0.2774409260882534, 'rougeL': 0.3949096085748628, 'rougeLsum': 0.39546625690693493}	{'score': 68.94783702655978, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.5855	4.0	18792	0.5882	32.4648	{'rouge1': 0.4065168353303946, 'rouge2': 0.2762287202150305, 'rougeL': 0.3947284265080875, 'rougeLsum': 0.3952044100349186}	{'score': 69.10087499970177, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.5835	5.0	23490	0.5883	32.3133	{'rouge1': 0.4065168353303946, 'rouge2': 0.2762287202150305, 'rougeL': 0.3947284265080875, 'rougeLsum': 0.3952044100349186}	{'score': 69.00192526889488, 'char_order': 6, 'word_order': 0, 'beta': 2}