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alecmontero/
roBERTuito-Meta4Types-ft-ES

Name: roBERTuito-Meta4Types-ft-ES
Availability: InStock

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roBERTuito-Meta4Types-ft-ES

This model is a fine-tuned version of pysentimiento/robertuito-sentiment-analysis 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	Roc Auc	Hamming Loss	F1 Score	Accuracy	Precision	Recall
No log	1.0	204	0.5044	0.5	0.2026	0.2930	0.6176	0.9281	0.3333
No log	2.0	408	0.4634	0.5717	0.1961	0.4829	0.6225	0.5819	0.4651
0.4697	3.0	612	0.4784	0.6173	0.1748	0.4993	0.6275	0.8438	0.4596
0.4697	4.0	816	0.6585	0.6129	0.2124	0.5351	0.5539	0.5456	0.5279
0.1464	5.0	1020	0.8070	0.5891	0.2010	0.4963	0.6078	0.5732	0.4703
0.1464	6.0	1224	0.7848	0.6094	0.1912	0.5294	0.5735	0.5916	0.4989
0.1464	7.0	1428	0.8547	0.6496	0.1830	0.5653	0.5931	0.6214	0.5298
0.0278	8.0	1632	0.9068	0.6152	0.1846	0.5396	0.5784	0.6114	0.5064
0.0278	9.0	1836	0.9251	0.6110	0.1961	0.5258	0.5588	0.5674	0.5023
0.0029	10.0	2040	0.9343	0.6146	0.1944	0.5276	0.5686	0.5751	0.5002