Sentence-level RoBERTa classification model described in: https://arxiv.org/pdf/2305.14904.pdf

{
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"full_f1": 0.8669508638097375,
"BACKGROUND_f1": 0.0,
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"INDIRECT QUOTE_f1": 0.9873617693522906, 
"PUBLISHED WORK_f1": 0.806282722513089,
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"PRESS REPORT_f1": 0.936936936936937,
"DECLINED COMMENT_f1": 1.0, 
"SOCIAL MEDIA POST_f1": 0.9130434782608696, 
"PROPOSAL/ORDER/LAW_f1": 0.6611570247933884,
"PRICE SIGNAL_f1": 0.5925925925925926,
"NARRATIVE_f1": 0.0,
"DIRECT OBSERVATION_f1": 0.33333333333333337, 
"COMMUNICATION_f1": 0.9320388349514563, 
"PUBLIC SPEECH_f1": 0.972972972972973,
"VOTE/POLL_f1": 0.8823529411764706,
"COURT PROCEEDING_f1": 0.8490566037735848
}
{}
transformers pytorch roberta arxiv:2305.14904 endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #arxiv-2305.14904 #endpoints_compatible #region-us 

Sentence-level RoBERTa classification model described in: URL

{
"DIRECT QUOTE_f1": 0.9091934574168077,
"full_f1": 0.8669508638097375,
"BACKGROUND_f1": 0.0,
"NO QUOTE_f1": 0.0, 
"INDIRECT QUOTE_f1": 0.9873617693522906, 
"PUBLISHED WORK_f1": 0.806282722513089,
"STATEMENT_f1": 0.9298892988929889, 
"PRESS REPORT_f1": 0.936936936936937,
"DECLINED COMMENT_f1": 1.0, 
"SOCIAL MEDIA POST_f1": 0.9130434782608696, 
"PROPOSAL/ORDER/LAW_f1": 0.6611570247933884,
"PRICE SIGNAL_f1": 0.5925925925925926,
"NARRATIVE_f1": 0.0,
"DIRECT OBSERVATION_f1": 0.33333333333333337, 
"COMMUNICATION_f1": 0.9320388349514563, 
"PUBLIC SPEECH_f1": 0.972972972972973,
"VOTE/POLL_f1": 0.8823529411764706,
"COURT PROCEEDING_f1": 0.8490566037735848
}
TAGS
#transformers #pytorch #roberta #arxiv-2305.14904 #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #roberta #arxiv-2305.14904 #endpoints_compatible #region-us 
