Datasets:

pt-eval
/

leaderboard_test2

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train · 3 rows

T stringclasses 1 value	Modelo stringclasses 2 values	Tipo stringclasses 2 values	Arquitetura stringclasses 2 values	Tipo de Peso stringclasses 1 value	Precisão stringclasses 1 value	Licença stringclasses 3 values	#Params (B) float64 3.09 3.21	Hub Likes int64 274 1.59k	Disponível no hub bool 1 class	SHA do modelo stringclasses 2 values	Economia e Contabilidade float64 0 0	Discurso de Ódio float64 0.58 0.76	Área Médica float64 0 0	Multidisciplinar float64 0.56 0.73	Semântica e Inferência float64 0.72 0.91	Provas Militares float64 0 0	Área do Direito float64 0 0	Computação float64 0 0	HateBR float64 0 0	PT Hate Speech float64 0.58 0.76	tweetSentBR float64 0 0	ToxSyn-PT float64 0 0	OAB float64 0 0	Revalida float64 0 0	MREX float64 0 0	ENAM float64 0 0	AFA float64 0 0	ITA float64 0 0	IME float64 0 0	POSCOMP float64 0 0	OBI float64 0 0	BCB float64 0 0	CFCES float64 0 0	ASSIN2 RTE float64 0.78 0.93	ASSIN2 STS float64 0 0	FAQUAD NLI float64 0.67 0.89	BLUEX float64 0 0	ENEM float64 0.56 0.73	CNPU float64 0 0	ENADE float64 0 0	BNDES float64 0 0	CACD (1ª fase) float64 0 0	CACD (2ª fase) float64 0 0	Média Geral float64 0.66 0.83	Datasets Área Médica stringclasses 1 value	Datasets Área do Direito stringclasses 1 value	Datasets Provas Militares stringclasses 1 value	Datasets Computação stringclasses 1 value	Datasets Discurso de Ódio stringclasses 1 value	Datasets Economia e Contabilidade stringclasses 1 value	Datasets Semântica e Inferência stringclasses 1 value	Datasets Multidisciplinar stringclasses 1 value	energy_dataset float64 0.5 0.5	reasoning_dataset float64 0.5 0.5
SFT	Qwen/Qwen2.5-3B-Instruct	SFT : Supervised Finetuning	Qwen2ForCausalLM	Original	BF16	qwen-research	3.086	274	true	aa8e72537993ba99e69dfaafa59ed015b17504d1	0	0.578143	0	0.680168	0.87088	0	0	0	0	0.578143	0	0	0	0	0	0	0	0	0	0	0	0	0	0.924837	0	0.816923	0	0.680168	0	0	0	0	0	0.750018	Revalida, MREX	OAB, ENAM	AFA, ITA, IME	POSCOMP, OBI	HateBR, PT Hate Speech, tweetSentBR, ToxSyn-PT	BCB, CFCES	FAQUAD NLI, ASSIN2 RTE, ASSIN2 STS	ENEM, BLUEX, CNPU, ENADE, BNDES, CACD (1ª fase), CACD (2ª fase)	0.5	0.5
SFT	Qwen/Qwen2.5-3B-Instruct	SFT: Supervised Finetuning	Qwen2ForCausalLM	Original	BF16	other	3.086	274	true	aa8e72537993ba99e69dfaafa59ed015b17504d1	0	0.762632	0	0.727654	0.906721	0	0	0	0	0.762632	0	0	0	0	0	0	0	0	0	0	0	0	0	0.927288	0	0.886154	0	0.727654	0	0	0	0	0	0.825932	Revalida, MREX	OAB, ENAM	AFA, ITA, IME	POSCOMP, OBI	HateBR, PT Hate Speech, tweetSentBR, ToxSyn-PT	BCB, CFCES	FAQUAD NLI, ASSIN2 RTE, ASSIN2 STS	ENEM, BLUEX, CNPU, ENADE, BNDES, CACD (1ª fase), CACD (2ª fase)	0.5	0.5
SFT	meta-llama/Llama-3.2-3B-Instruct	SFT : Supervised Finetuning	LlamaForCausalLM	Original	BF16	llama3.2	3.213	1,586	true	0cb88a4f764b7a12671c53f0838cd831a0843b95	0	0.645123	0	0.563547	0.724727	0	0	0	0	0.645123	0	0	0	0	0	0	0	0	0	0	0	0	0	0.775608	0	0.673846	0	0.563547	0	0	0	0	0	0.664531	Revalida, MREX	OAB, ENAM	AFA, ITA, IME	POSCOMP, OBI	HateBR, PT Hate Speech, tweetSentBR, ToxSyn-PT	BCB, CFCES	FAQUAD NLI, ASSIN2 RTE, ASSIN2 STS	ENEM, BLUEX, CNPU, ENADE, BNDES, CACD (1ª fase), CACD (2ª fase)	0.5	0.5

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