Step 19169

README.md

@@ -60,7 +60,7 @@ WIP
 
 ## Training data
 
-The model was initialized with pre-trained weights of [sahajBERT](https://huggingface.co/neuropark/sahajBERT-NER) at step 18149 and trained on the bengali split of [WikiANN ](https://huggingface.co/datasets/wikiann)
+The model was initialized with pre-trained weights of [sahajBERT](https://huggingface.co/neuropark/sahajBERT-NER) at step 19169 and trained on the bengali split of [WikiANN ](https://huggingface.co/datasets/wikiann)
 
 ## Training procedure
 
@@ -73,11 +73,11 @@ Coming soon!
 
 ## Eval results
 
-accuracy: 0.971656976744186
+accuracy: 0.9728682170542635
 
 f1: 0.9515892420537897
 
-loss: 0.16383282840251923
+loss: 0.19455023109912872
 
 precision: 0.9474196689386563
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "albertvillanova/autonlp-wikiann-entity_extraction-218510d-1251090",
+  "_name_or_path": "albertvillanova/autonlp-wikiann-entity_extraction-0d675eb-1281107",
   "_num_labels": 7,
   "architectures": [
     "AlbertForTokenClassification"
@@ -36,7 +36,7 @@
     "6": 6
   },
   "layer_norm_eps": 1e-12,
-  "max_length": 128,
+  "max_length": 256,
   "max_position_embeddings": 512,
   "model_type": "albert",
   "net_structure_type": 0,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:2d49012ab934ab252223f215d50f7117057f11f56fcc82874fc90b4259f63c4d
 size 67605209