add model

README.md

@@ -3,20 +3,20 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: peterhsu/tf_bert-finetuned-ner
+- name: tf_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. -->
 
-# peterhsu/tf_bert-finetuned-ner
+# tf_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: 0.1727
-- Validation Loss: 0.0673
-- Epoch: 0
+- Train Loss: 0.0272
+- Validation Loss: 0.0522
+- Epoch: 2
 
 ## Model description
 
@@ -43,6 +43,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 0.1727     | 0.0673          | 0     |
+| 0.0462     | 0.0541          | 1     |
+| 0.0272     | 0.0522          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d0f9d6c8477ab4aa61a79d8cfbf6ff2a4c55f000d1d3c0e50a243ce10846b5c
+oid sha256:1a0978487b84a615e107b64a86ae9610aa29e1a3819e1366ded3c70764398151
 size 431179820