Training in progress epoch 0

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: badokorach/mobilebert-uncased-finetuned-agic-181223
+base_model: csarron/mobilebert-uncased-squad-v2
 tags:
 - generated_from_keras_callback
 model-index:
@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # badokorach/mobilebert-uncased-finetuned-agic-060124
 
-This model is a fine-tuned version of [badokorach/mobilebert-uncased-finetuned-agic-181223](https://huggingface.co/badokorach/mobilebert-uncased-finetuned-agic-181223) on an unknown dataset.
+This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v2](https://huggingface.co/csarron/mobilebert-uncased-squad-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3063
+- Train Loss: 2.4542
 - Validation Loss: 0.0
-- Epoch: 19
+- Epoch: 0
 
 ## Model description
 
@@ -36,33 +36,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 2320, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}
+- optimizer: {'name': 'Adam', 'weight_decay': 0.02, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1160, 'end_learning_rate': 1e-07, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.8096     | 0.0             | 0     |
-| 1.0508     | 0.0             | 1     |
-| 0.5189     | 0.0             | 2     |
-| 0.4869     | 0.0             | 3     |
-| 0.4681     | 0.0             | 4     |
-| 0.4300     | 0.0             | 5     |
-| 0.4224     | 0.0             | 6     |
-| 0.4163     | 0.0             | 7     |
-| 0.3690     | 0.0             | 8     |
-| 0.3680     | 0.0             | 9     |
-| 0.3594     | 0.0             | 10    |
-| 0.3456     | 0.0             | 11    |
-| 0.3273     | 0.0             | 12    |
-| 0.3345     | 0.0             | 13    |
-| 0.3335     | 0.0             | 14    |
-| 0.3056     | 0.0             | 15    |
-| 0.3232     | 0.0             | 16    |
-| 0.3027     | 0.0             | 17    |
-| 0.3066     | 0.0             | 18    |
-| 0.3063     | 0.0             | 19    |
+| 2.4542     | 0.0             | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "badokorach/mobilebert-uncased-finetuned-agic-181223",
+  "_name_or_path": "csarron/mobilebert-uncased-squad-v2",
   "architectures": [
     "MobileBertForQuestionAnswering"
   ],

special_tokens_map.json

@@ -1,37 +1,7 @@
 {
-  "cls_token": {
-    "content": "[CLS]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "mask_token": {
-    "content": "[MASK]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": {
-    "content": "[PAD]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "sep_token": {
-    "content": "[SEP]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "[UNK]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
 }

tf_model.h5

@@ -1,3 +1,3 @@
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-size 99819976
+oid sha256:64921f5616387e83fd67e1c98003b387549e762f860199dd4632b712ffee72c6
+size 99822192