pierreguillou
/

ner-bert-base-cased-pt-lenerbr

Token Classification

Generated from Trainer

Inference Endpoints

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pierreguillou commited on Dec 28, 2021

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@@ -154,9 +154,9 @@ 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

 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