add model

README.md

@@ -3,20 +3,20 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: SGrannemann/bert-finetuned-ner
+- name: bert-finetuned-ner
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# SGrannemann/bert-finetuned-ner
+# bert-finetuned-ner
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1740
-- Validation Loss: 0.0612
-- Epoch: 0
+- Train Loss: 0.0225
+- Validation Loss: 0.0519
+- Epoch: 2
 
 ## Model description
 
@@ -42,7 +42,9 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.1740     | 0.0612          | 0     |
+| 0.0226     | 0.0519          | 0     |
+| 0.0229     | 0.0519          | 1     |
+| 0.0225     | 0.0519          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a669a784be68a58785c853a9e8e80d64128756bb98eb9c4a9a42b16d2a1210d2
+oid sha256:f1295925ee944c5dfd967720d7d1ac5c1f77dfc37a00ee5d36e9170de989c9d4
 size 431179820