Training in progress epoch 0

README.md

@@ -1,5 +1,4 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
@@ -12,11 +11,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # NilavoBoral/nilavo-bert-finetuned
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0067
-- Validation Loss: 0.0627
-- Epoch: 4
+- Train Loss: 0.0171
+- Validation Loss: 0.0676
+- Epoch: 0
 
 ## Model description
 
@@ -42,11 +41,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.1396     | 0.0615          | 0     |
-| 0.0424     | 0.0567          | 1     |
-| 0.0230     | 0.0565          | 2     |
-| 0.0119     | 0.0599          | 3     |
-| 0.0067     | 0.0627          | 4     |
+| 0.0171     | 0.0676          | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-cased",
+  "_name_or_path": "nilavo-bert-finetuned",
   "architectures": [
     "BertForTokenClassification"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:06ec066fde916f5c5855eb09b743564ca7a27ebb3c3fc18f33171f362d6d6b4b
+oid sha256:c5a0ebe416111f85724299cc5718f13732381c5456da39b513be535147eaf0a0
 size 431192108