Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	Precision Macro	Recall Macro	Macro Fpr	Weighted Fpr	Weighted Specificity	Macro Specificity	Weighted Sensitivity	Macro Sensitivity	F1 Micro	F1 Macro	F1 Weighted
1.065	1.0	643	0.6395	0.7994	0.7818	0.7994	0.6194	0.6308	0.0185	0.0176	0.9714	0.9847	0.7994	0.6308	0.7994	0.6029	0.7804
0.5866	2.0	1286	0.6907	0.8187	0.8199	0.8187	0.7285	0.7366	0.0161	0.0156	0.9765	0.9864	0.8187	0.7366	0.8187	0.7276	0.8152
0.4622	3.0	1929	0.8056	0.8180	0.8137	0.8180	0.7227	0.7376	0.0162	0.0156	0.9764	0.9863	0.8180	0.7376	0.8180	0.7283	0.8150
0.2398	4.0	2572	0.9310	0.8172	0.8235	0.8172	0.7661	0.7425	0.0161	0.0157	0.9762	0.9862	0.8172	0.7425	0.8172	0.7407	0.8161
0.1611	5.0	3215	1.0763	0.8304	0.8363	0.8304	0.8174	0.7918	0.0148	0.0144	0.9784	0.9873	0.8304	0.7918	0.8304	0.7986	0.8304
0.1055	6.0	3858	1.1377	0.8257	0.8275	0.8257	0.8039	0.7810	0.0154	0.0149	0.9775	0.9869	0.8257	0.7810	0.8257	0.7863	0.8246
0.0463	7.0	4501	1.3215	0.8071	0.8111	0.8071	0.7692	0.7689	0.0172	0.0168	0.9761	0.9856	0.8071	0.7689	0.8071	0.7661	0.8078
0.031	8.0	5144	1.3483	0.8203	0.8170	0.8203	0.7773	0.7727	0.0161	0.0154	0.9751	0.9864	0.8203	0.7727	0.8203	0.7690	0.8175
0.0202	9.0	5787	1.3730	0.8280	0.8263	0.8280	0.7818	0.7803	0.0152	0.0146	0.9779	0.9871	0.8280	0.7803	0.8280	0.7753	0.8256
0.0133	10.0	6430	1.5407	0.8164	0.8163	0.8164	0.7688	0.7779	0.0165	0.0158	0.9751	0.9861	0.8164	0.7779	0.8164	0.7655	0.8135
0.0051	11.0	7073	1.5235	0.8226	0.8265	0.8226	0.7900	0.7680	0.0156	0.0152	0.9769	0.9866	0.8226	0.7680	0.8226	0.7744	0.8234
0.0027	12.0	7716	1.5643	0.8265	0.8259	0.8265	0.7805	0.7841	0.0154	0.0148	0.9772	0.9869	0.8265	0.7841	0.8265	0.7775	0.8245
0.002	13.0	8359	1.5516	0.8280	0.8273	0.8280	0.7882	0.7902	0.0152	0.0146	0.9779	0.9871	0.8280	0.7902	0.8280	0.7860	0.8262
0.0015	14.0	9002	1.5835	0.8273	0.8268	0.8273	0.7943	0.8022	0.0153	0.0147	0.9773	0.9870	0.8273	0.8022	0.8273	0.7943	0.8259
0.0007	15.0	9645	1.5914	0.8296	0.8293	0.8296	0.7959	0.8029	0.0150	0.0145	0.9774	0.9871	0.8296	0.8029	0.8296	0.7954	0.8283

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2

xshubhamx/InLegalBERT

Metrics

Metrics

InLegalBERT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xshubhamx/
InLegalBERT