You can deploy this model and start earning money today!

mmillet/
distilrubert-tiny-cased-conversational-v1_finetuned_empathy_classifier

Name: distilrubert-tiny-cased-conversational-v1_finetuned_empathy_classifier
Availability: InStock

Views

No views yet

distilrubert-tiny-cased-conversational-v1_finetuned_empathy_classifier

This model is a fine-tuned version of DeepPavlov/distilrubert-tiny-cased-conversational-v1 on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.09	1.0	9	1.0661	0.4407	0.4464	0.6498	0.4407
1.0292	2.0	18	0.9658	0.5678	0.5223	0.5179	0.5678
0.942	3.0	27	0.8659	0.5932	0.5807	0.5723	0.5932
0.8614	4.0	36	0.7864	0.6186	0.5924	0.5879	0.6186
0.8002	5.0	45	0.7766	0.6017	0.5946	0.6086	0.6017
0.7633	6.0	54	0.7545	0.6186	0.6022	0.6151	0.6186
0.7249	7.0	63	0.7649	0.6356	0.6381	0.6921	0.6356
0.6687	8.0	72	0.7115	0.6695	0.6741	0.7154	0.6695
0.6426	9.0	81	0.6554	0.6864	0.6761	0.6807	0.6864
0.6144	10.0	90	0.6649	0.6864	0.6909	0.7172	0.6864
0.6252	11.0	99	0.8685	0.6186	0.6118	0.6880	0.6186
0.5988	12.0	108	0.6306	0.6949	0.7015	0.7107	0.6949
0.56	13.0	117	0.6919	0.6610	0.6662	0.7061	0.6610
0.5468	14.0	126	0.6563	0.6949	0.6980	0.7188	0.6949
0.5658	15.0	135	0.6351	0.6949	0.7048	0.7280	0.6949
0.5262	16.0	144	0.6902	0.6780	0.6821	0.7173	0.6780
0.4777	17.0	153	0.6237	0.6949	0.6981	0.7056	0.6949
0.4771	18.0	162	0.6688	0.6780	0.6799	0.7035	0.6780
0.4737	19.0	171	0.6482	0.6864	0.6957	0.7219	0.6864
0.5033	20.0	180	0.6624	0.6780	0.6878	0.7175	0.6780