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pt-eval
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eval_5shot_4exp

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train · 12 rows

model_name stringclasses 3 values	benchmark stringclasses 4 values	accuracy float64 0.5 0.91	precision float64 0.25 0.91	recall float64 0.5 0.91	f1_score float64 0.33 0.91	pearson_correlation null	non_parsed_rate float64 0 0
Qwen2.5-0.5B-Instruct	hatebr	0.499285	0.249285	0.499285	0.332539	null	0.001429
Qwen2.5-0.5B-Instruct	portuguese_hate_speech	0.700824	0.491155	0.700824	0.577549	null	0.00235
Qwen2.5-0.5B-Instruct	toxsyn_pt	0.525163	0.275796	0.525163	0.361662	null	0.000384
Qwen2.5-0.5B-Instruct	tweetsentbr	0.497512	0.581003	0.497512	0.502435	null	0
Qwen2.5-1.5B-Instruct	hatebr	0.878571	0.879017	0.878571	0.878536	null	0
Qwen2.5-1.5B-Instruct	portuguese_hate_speech	0.696827	0.742526	0.696827	0.708426	null	0
Qwen2.5-1.5B-Instruct	toxsyn_pt	0.900538	0.902822	0.900538	0.900164	null	0
Qwen2.5-1.5B-Instruct	tweetsentbr	0.674627	0.683687	0.674627	0.664184	null	0
Qwen2.5-3B-Instruct	hatebr	0.840714	0.842128	0.840714	0.84055	null	0
Qwen2.5-3B-Instruct	portuguese_hate_speech	0.650999	0.772663	0.650999	0.66381	null	0
Qwen2.5-3B-Instruct	toxsyn_pt	0.907834	0.911217	0.907834	0.907393	null	0
Qwen2.5-3B-Instruct	tweetsentbr	0.71393	0.714645	0.71393	0.701895	null	0

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