hyperparameter tuning step 19519

README.md

@@ -73,16 +73,16 @@ Coming soon!
 
 ## Eval results
 
-accuracy: 0.9756540697674418
 
-f1: 0.9570102589154861
+loss: 0.11714419722557068
 
-loss: 0.13705264031887054
+accuracy: 0.9772286821705426
 
-precision: 0.9518950437317785
+precision: 0.9585365853658536
 
-recall: 0.962180746561886
+recall: 0.9651277013752456
 
+f1 : 0.9618208516886931
 
 
 ### BibTeX entry and citation info

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123",
+  "_name_or_path": "albertvillanova/autonlp-baselines-wikiann-entity_extraction-1341171",
   "_num_labels": 7,
   "architectures": [
     "AlbertForTokenClassification"
@@ -36,7 +36,7 @@
     "6": 6
   },
   "layer_norm_eps": 1e-12,
-  "max_length": 96,
+  "max_length": 128,
   "max_position_embeddings": 512,
   "model_type": "albert",
   "net_structure_type": 0,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:7821a60cc677b98933f476601c85039ce3b188cc179238c4de289d52d194b6eb
 size 67605209