Update README.md

README.md

@@ -153,74 +153,74 @@ Total train batch size (w. parallel, distributed & accumulation) = 4
 Gradient Accumulation steps = 2
 Total optimization steps = 19570
 
-Step	Training Loss	Validation Loss	Precision	Recall   	F1      	Accuracy
-300	0.127600	0.178613	0.722909	0.741720	0.732194	0.948802
-600	0.088200	0.136965	0.733636	0.867742	0.795074	0.963079
-900	0.078000	0.128858	0.791912	0.838065	0.814335	0.965243
-1200	0.077800	0.126345	0.815400	0.865376	0.839645	0.967849
-1500	0.074100	0.148207	0.779274	0.895914	0.833533	0.960184
-1800	0.059500	0.116634	0.830829	0.868172	0.849090	0.969342
-2100	0.044500	0.208459	0.887150	0.816559	0.850392	0.960535
-2400	0.029400	0.136352	0.867821	0.851398	0.859531	0.970271
-2700	0.025000	0.165837	0.814881	0.878495	0.845493	0.961235
-3000	0.038400	0.120629	0.811719	0.893763	0.850768	0.971506
-3300	0.026200	0.175094	0.823435	0.882581	0.851983	0.962957
-3600	0.025600	0.178438	0.881095	0.886022	0.883551	0.963689
-3900	0.041000	0.134648	0.789035	0.916129	0.847846	0.967681
-4200	0.026700	0.130178	0.821275	0.903226	0.860303	0.972313
-4500	0.018500	0.139294	0.844016	0.875054	0.859255	0.971140
-4800	0.020800	0.197811	0.892504	0.873118	0.882705	0.965883
-5100	0.019300	0.161239	0.848746	0.888172	0.868012	0.967849
-5400	0.024000	0.139131	0.837507	0.913333	0.873778	0.970591
-5700	0.018400	0.157223	0.899754	0.864731	0.881895	0.970210
-6000	0.023500	0.137022	0.883018	0.873333	0.878149	0.973243
-6300	0.009300	0.181448	0.840490	0.900860	0.869628	0.968290
-6600	0.019200	0.173125	0.821316	0.896559	0.857290	0.966736
-6900	0.016100	0.143160	0.789938	0.904946	0.843540	0.968245
-7200	0.017000	0.145755	0.823274	0.897634	0.858848	0.969037
-7500	0.012100	0.159342	0.825694	0.883226	0.853491	0.967468
-7800	0.013800	0.194886	0.861237	0.859570	0.860403	0.964771
-8100	0.008000	0.140271	0.829914	0.896129	0.861752	0.971567
-8400	0.010300	0.143318	0.826844	0.908817	0.865895	0.973578
-8700	0.015000	0.143392	0.847336	0.889247	0.867786	0.973365
-9000	0.006000	0.143512	0.847795	0.905591	0.875741	0.972892
-9300	0.011800	0.138747	0.827133	0.894194	0.859357	0.971673
-9600	0.008500	0.159490	0.837030	0.909032	0.871546	0.970028
-9900	0.010700	0.159249	0.846692	0.910968	0.877655	0.970546
-10200	0.008100	0.170069	0.848288	0.900645	0.873683	0.969113
-10500	0.004800	0.183795	0.860317	0.899355	0.879403	0.969570
-10800	0.010700	0.157024	0.837838	0.906667	0.870894	0.971094
-11100	0.003800	0.164286	0.845312	0.880215	0.862410	0.970744
-11400	0.009700	0.204025	0.884294	0.887527	0.885907	0.968854
-11700	0.008900	0.162819	0.829415	0.887742	0.857588	0.970530
-12000	0.006400	0.164296	0.852666	0.901075	0.876202	0.971414
-12300	0.007100	0.143367	0.852959	0.895699	0.873807	0.973669
-12600	0.015800	0.153383	0.859224	0.900430	0.879345	0.972679
-12900	0.006600	0.173447	0.869954	0.899140	0.884306	0.970927
-13200	0.006800	0.163234	0.856849	0.897204	0.876563	0.971795
-13500	0.003200	0.167164	0.850867	0.907957	0.878485	0.971231
-13800	0.003600	0.148950	0.867801	0.910538	0.888656	0.976961
-14100	0.003500	0.155691	0.847621	0.907957	0.876752	0.974127
-14400	0.003300	0.157672	0.846553	0.911183	0.877680	0.974584
-14700	0.002500	0.169965	0.847804	0.917634	0.881338	0.973045
-15000	0.003400	0.177099	0.842199	0.912473	0.875929	0.971155
-15300	0.006000	0.164151	0.848928	0.911183	0.878954	0.973258
-15600	0.002400	0.174305	0.847437	0.906667	0.876052	0.971765
-15900	0.004100	0.174561	0.852929	0.907957	0.879583	0.972907
-16200	0.002600	0.172626	0.843263	0.907097	0.874016	0.972100
-16500	0.002100	0.185302	0.841108	0.907312	0.872957	0.970485
-16800	0.002900	0.175638	0.840557	0.909247	0.873554	0.971704
-17100	0.001600	0.178750	0.857056	0.906452	0.881062	0.971765
-17400	0.003900	0.188910	0.853619	0.907957	0.879950	0.970835
-17700	0.002700	0.180822	0.864699	0.907097	0.885390	0.972283
-18000	0.001300	0.179974	0.868150	0.906237	0.886785	0.973060
+Step	Training Loss	Validation Loss   Precision   Recall  	 F1      	Accuracy
+300	  0.127600	    0.178613	        0.722909	  0.741720	 0.732194	0.948802
+600	  0.088200	    0.136965	        0.733636	  0.867742	 0.795074	0.963079
+900	  0.078000	    0.128858	        0.791912	  0.838065	 0.814335	0.965243
+1200 	0.077800      0.126345	        0.815400	  0.865376	 0.839645	0.967849
+1500 	0.074100      0.148207	        0.779274	  0.895914	 0.833533	0.960184
+1800 	0.059500      0.116634	        0.830829	  0.868172	 0.849090	0.969342
+2100 	0.044500      0.208459	        0.887150	  0.816559	 0.850392	0.960535
+2400 	0.029400      0.136352	        0.867821	  0.851398	 0.859531	0.970271
+2700 	0.025000      0.165837	        0.814881	  0.878495	 0.845493	0.961235
+3000 	0.038400      0.120629	        0.811719	  0.893763	 0.850768	0.971506
+3300 	0.026200      0.175094	        0.823435	  0.882581	 0.851983	0.962957
+3600 	0.025600      0.178438	        0.881095	  0.886022	 0.883551	0.963689
+3900 	0.041000      0.134648	        0.789035	  0.916129	 0.847846	0.967681
+4200 	0.026700      0.130178	        0.821275	  0.903226	 0.860303	0.972313
+4500 	0.018500      0.139294	        0.844016	  0.875054	 0.859255	0.971140
+4800 	0.020800      0.197811	        0.892504	  0.873118	 0.882705	0.965883
+5100 	0.019300      0.161239	        0.848746	  0.888172	 0.868012	0.967849
+5400 	0.024000      0.139131	        0.837507	  0.913333	 0.873778	0.970591
+5700 	0.018400      0.157223	        0.899754	  0.864731	 0.881895	0.970210
+6000 	0.023500      0.137022	        0.883018	  0.873333	 0.878149	0.973243
+6300 	0.009300      0.181448	        0.840490	  0.900860	 0.869628	0.968290
+6600 	0.019200      0.173125	        0.821316	  0.896559	 0.857290	0.966736
+6900 	0.016100      0.143160	        0.789938	  0.904946	 0.843540	0.968245
+7200 	0.017000      0.145755	        0.823274	  0.897634	 0.858848	0.969037
+7500 	0.012100      0.159342	        0.825694	  0.883226	 0.853491	0.967468
+7800 	0.013800      0.194886          0.861237	  0.859570	 0.860403	0.964771
+8100 	0.008000      0.140271	        0.829914	  0.896129	 0.861752	0.971567
+8400 	0.010300      0.143318	        0.826844	  0.908817	 0.865895	0.973578
+8700 	0.015000      0.143392	        0.847336	  0.889247	 0.867786	0.973365
+9000 	0.006000      0.143512	        0.847795	  0.905591	 0.875741	0.972892
+9300 	0.011800      0.138747	        0.827133	  0.894194	 0.859357	0.971673
+9600 	0.008500      0.159490	        0.837030	  0.909032	 0.871546	0.970028
+9900 	0.010700      0.159249	        0.846692	  0.910968	 0.877655	0.970546
+10200	0.008100	    0.170069  	      0.848288	  0.900645	 0.873683	0.969113
+10500	0.004800	    0.183795	        0.860317	  0.899355	 0.879403	0.969570
+10800	0.010700	    0.157024	        0.837838	  0.906667	 0.870894	0.971094
+11100	0.003800	    0.164286	        0.845312	  0.880215	 0.862410	0.970744
+11400	0.009700	    0.204025	        0.884294	  0.887527	 0.885907	0.968854
+11700	0.008900	    0.162819	        0.829415	  0.887742	 0.857588	0.970530
+12000	0.006400	    0.164296	        0.852666	  0.901075	 0.876202	0.971414
+12300	0.007100	    0.143367	        0.852959	  0.895699	 0.873807	0.973669
+12600	0.015800	    0.153383	        0.859224	  0.900430	 0.879345	0.972679
+12900	0.006600	    0.173447	        0.869954	  0.899140	 0.884306	0.970927
+13200	0.006800	    0.163234  	      0.856849	  0.897204	 0.876563	0.971795
+13500	0.003200	    0.167164	        0.850867	  0.907957	 0.878485	0.971231
+13800	0.003600	    0.148950  	      0.867801	  0.910538	 0.888656	0.976961
+14100	0.003500	    0.155691  	      0.847621	  0.907957	 0.876752	0.974127
+14400	0.003300	    0.157672	        0.846553	  0.911183	 0.877680	0.974584
+14700	0.002500	    0.169965	        0.847804	  0.917634	 0.881338	0.973045
+15000	0.003400	    0.177099  	      0.842199	  0.912473	 0.875929	0.971155
+15300	0.006000	    0.164151  	      0.848928	  0.911183	 0.878954	0.973258
+15600	0.002400	    0.174305	        0.847437	  0.906667	 0.876052	0.971765
+15900	0.004100	    0.174561  	      0.852929	  0.907957	 0.879583	0.972907
+16200	0.002600	    0.172626	        0.843263	  0.907097	 0.874016	0.972100
+16500	0.002100	    0.185302	        0.841108	  0.907312	 0.872957	0.970485
+16800	0.002900	    0.175638	        0.840557	  0.909247	 0.873554	0.971704
+17100	0.001600	    0.178750	        0.857056	  0.906452	 0.881062	0.971765
+17400	0.003900	    0.188910	        0.853619	  0.907957	 0.879950	0.970835
+17700	0.002700	    0.180822	        0.864699	  0.907097	 0.885390	0.972283
+18000	0.001300	    0.179974	        0.868150	  0.906237	 0.886785	0.973060
 
-18300	0.000800	0.188032	0.881022	0.904516	0.892615	0.972572
+18300	0.000800	    0.188032	        0.881022	  0.904516	 0.892615	0.972572
 
-18600	0.002700	0.183266	0.868601	0.901290	0.884644	0.972298
-18900	0.001600	0.180301	0.862041	0.903011	0.882050	0.972344
-19200	0.002300	0.183432	0.855370	0.904301	0.879155	0.971109
-19500	0.001800	0.183381	0.854501	0.904301	0.878696	0.97118630
+18600	0.002700	    0.183266	        0.868601	  0.901290	 0.884644	0.972298
+18900	0.001600	    0.180301	        0.862041	  0.903011	 0.882050	0.972344
+19200	0.002300	    0.183432	        0.855370	  0.904301	 0.879155	0.971109
+19500	0.001800	    0.183381	        0.854501	  0.904301	 0.878696	0.971186
 ````
 
 ### Validation metrics by Named Entity