Training in progress epoch 0

README.md

@@ -12,11 +12,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # yfu2307/bert-finetuned-ner
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [KakkiDaisuki/bert-finetuned-ner](https://huggingface.co/KakkiDaisuki/bert-finetuned-ner) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0462
-- Validation Loss: 0.1203
-- Epoch: 4
+- Train Loss: 0.2668
+- Validation Loss: 0.1353
+- Epoch: 0
 
 ## Model description
 
@@ -42,11 +42,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.2952     | 0.1560          | 0     |
-| 0.1331     | 0.1207          | 1     |
-| 0.0843     | 0.1138          | 2     |
-| 0.0577     | 0.1191          | 3     |
-| 0.0462     | 0.1203          | 4     |
+| 0.2668     | 0.1353          | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "KakkiDaisuki/bert-finetuned-ner",
   "architectures": [
     "BertForTokenClassification"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9983de79872ffea6b6d0784892b28dbbb1372a2df97f5e9ac3dd45463c00ab0c
-size 435849236
+oid sha256:7b153f0d84c3fb815817923e7fdf7b11dae24dd2a6c53fec81ecc6028f46874f
+size 435861524