Training in progress epoch 0

README.md

@@ -3,18 +3,19 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: tf-bert-finetuned-squad
+- name: peterhsu/tf-bert-finetuned-squad
   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. -->
 
-# tf-bert-finetuned-squad
+# peterhsu/tf-bert-finetuned-squad
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [peterhsu/tf-bert-finetuned-squad](https://huggingface.co/peterhsu/tf-bert-finetuned-squad) on an unknown dataset.
 It achieves the following results on the evaluation set:
-
+- Train Loss: 1.2652
+- Epoch: 0
 
 ## Model description
 
@@ -33,11 +34,14 @@ 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-05, 'decay_steps': 16635, '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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16635, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
 - training_precision: mixed_float16
 
 ### Training results
 
+| Train Loss | Epoch |
+|:----------:|:-----:|
+| 1.2652     | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-cased",
+  "_name_or_path": "peterhsu/tf-bert-finetuned-squad",
   "architectures": [
     "BertForQuestionAnswering"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
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-size 431154192
+oid sha256:22140715c9dae9e95bec1e0a9d4ccbfbe4683cea027a08c1e50217731e19d3dd
+size 431158288