
deberta-v3-large trained for one epoch (properly underfitted) on a dataset that combined FEVER data with externally sourced non-claims. 
Label 0: no claim
Label 1: claim 

Paper of the data: 
"Claim extraction from text using transfer learning" - By Acharya Ashish Prabhakar, Salar Mohtaj, Sebastian Möller

https://aclanthology.org/2020.icon-main.39/

Performance on held out data: 

Accuracy 0.8128525
F1_Score 0.854962
mcc 0.6173648

properly is of use already
{"license": "mit", "tags": ["deberta"], "datasets": ["KnutJaegersberg/FEVER_claim_extraction"], "pipeline_tag": "text-classification"}
transformers pytorch safetensors deberta-v2 text-classification deberta dataset:KnutJaegersberg/FEVER_claim_extraction license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #deberta-v2 #text-classification #deberta #dataset-KnutJaegersberg/FEVER_claim_extraction #license-mit #autotrain_compatible #endpoints_compatible #region-us 


deberta-v3-large trained for one epoch (properly underfitted) on a dataset that combined FEVER data with externally sourced non-claims. 
Label 0: no claim
Label 1: claim 

Paper of the data: 
"Claim extraction from text using transfer learning" - By Acharya Ashish Prabhakar, Salar Mohtaj, Sebastian Möller

URL

Performance on held out data: 

Accuracy 0.8128525
F1_Score 0.854962
mcc 0.6173648

properly is of use already
TAGS
#transformers #pytorch #safetensors #deberta-v2 #text-classification #deberta #dataset-KnutJaegersberg/FEVER_claim_extraction #license-mit #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #safetensors #deberta-v2 #text-classification #deberta #dataset-KnutJaegersberg/FEVER_claim_extraction #license-mit #autotrain_compatible #endpoints_compatible #region-us 
