Training Loss	Epoch	Step	Validation Loss	Addressee Precision	Addressee Recall	Addressee F1	Addressee Number	Benefactive Number	Causator Precision	Causator Recall	Causator F1	Causator Number	Cause Precision	Cause Recall	Cause F1	Cause Number	Contrsubject Precision	Contrsubject Recall	Contrsubject F1	Contrsubject Number	Deliberative Precision	Deliberative Recall	Deliberative F1	Deliberative Number	Destinative Precision	Destinative Recall	Destinative F1	Destinative Number	Directivefinal Precision	Directivefinal Recall	Directivefinal F1	Directivefinal Number	Experiencer Precision	Experiencer Recall	Experiencer F1	Experiencer Number	Instrument Precision	Instrument Recall	Instrument F1	Instrument Number	Object Precision	Object Recall	Object F1	Object Number	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.1548	1.0	1471	0.1755	0.6667	0.5217	0.5854	23	2	0.5714	0.8182	0.6729	44	0.5217	0.3429	0.4138	35	0.4103	0.4571	0.4324	35	0.0	0.0	0.0	24	0.0	0.0	0.0	7	0.0	0.0	0.0	1	0.8645	0.8252	0.8444	286	0.0	0.0	0.0	10	0.7711	0.8965	0.8291	541	0.7627	0.7907	0.7764	0.9582
0.1209	2.0	2942	0.0797	0.9130	0.9130	0.9130	23	2	0.9348	0.9773	0.9556	44	0.8462	0.6286	0.7213	35	0.8889	0.9143	0.9014	35	0.75	0.875	0.8077	24	1.0	0.4286	0.6	7	0.0	0.0	0.0	1	0.8993	0.8741	0.8865	286	0.875	0.7	0.7778	10	0.9336	0.9094	0.9213	541	0.9138	0.8839	0.8986	0.9808
0.0559	3.0	4413	0.0448	0.9583	1.0	0.9787	23	2	0.9773	0.9773	0.9773	44	0.9259	0.7143	0.8065	35	1.0	0.9429	0.9706	35	0.9231	1.0	0.9600	24	1.0	1.0	1.0	7	1.0	1.0	1.0	1	0.9030	0.9441	0.9231	286	0.9	0.9	0.9	10	0.9484	0.9519	0.9502	541	0.9369	0.9425	0.9397	0.9883

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

dl-ru/rubert-electra-srl

rubert-electra-srl

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dl-ru/
rubert-electra-srl