Training in progress epoch 0

README.md

@@ -12,11 +12,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # chanifrusydi/distillbert-finetuned-ner
 
-This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an [CoNLL-2003 Named Entity Recognition](https://www.aclweb.org/anthology/W03-0419.pdf) dataset.
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1303
-- Validation Loss: 0.1253
-- Epoch: 4
+- Train Loss: 0.2046
+- Validation Loss: 0.0929
+- Epoch: 0
 
 ## Model description
 
@@ -35,18 +35,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 4385, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4385, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.6343     | 0.2539          | 0     |
-| 0.2125     | 0.1615          | 1     |
-| 0.1592     | 0.1380          | 2     |
-| 0.1385     | 0.1282          | 3     |
-| 0.1303     | 0.1253          | 4     |
+| 0.2046     | 0.0929          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2bafdea68d14cbda3559464988f0e754f84070bda53b84fc8a67724ac4dbd982
+oid sha256:89a37f3600993c572c46d1f7e6085454dc785cb831f1c15ae2e0ac966efebe83
 size 260918632