Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.9949
-- Validation Loss: 3.0166
-- Train Accuracy: 0.0
-- Epoch: 2
+- Train Loss: 3.6955
+- Validation Loss: 3.6968
+- Train Accuracy: 0.0111
+- Epoch: 0
 
 ## Model description
 
@@ -37,16 +37,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, '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': 2e-05, 'decay_steps': 75, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, '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': 2e-05, 'decay_steps': 450, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 3.0048     | 3.0077          | 0.0            | 0     |
-| 2.9958     | 3.0164          | 0.0            | 1     |
-| 2.9949     | 3.0166          | 0.0            | 2     |
+| 3.6955     | 3.6968          | 0.0111         | 0     |
 
 
 ### Framework versions

config.json

@@ -28,28 +28,68 @@
     "16": "February",
     "17": "pencil ",
     "18": "proof sign 1",
-    "19": "secret "
+    "19": "secret ",
+    "20": "distracted",
+    "21": "bookcase, bookshelf",
+    "22": "one day cricket, 50 overs format sign and explanation",
+    "23": "greedy ",
+    "24": "Allahabad Bank",
+    "25": "form sign 1",
+    "26": "market",
+    "27": "Bengali",
+    "28": "strength",
+    "29": "truck ",
+    "30": "day",
+    "31": "Usury",
+    "32": "beetroot",
+    "33": "fry, frying",
+    "34": "accept",
+    "35": "network",
+    "36": "paste",
+    "37": "identity card ",
+    "38": "none, nothing ",
+    "39": "Peru"
   },
   "initializer_range": 0.02,
   "label2id": {
     "4 four": 14,
+    "Allahabad Bank": 24,
+    "Bengali": 27,
     "February": 16,
     "Huawei Mobile": 15,
     "India": 0,
+    "Peru": 39,
     "Shiv Sena": 1,
+    "Usury": 31,
+    "accept": 34,
     "affiliate": 4,
+    "beetroot": 32,
+    "bookcase, bookshelf": 21,
     "dartboard": 12,
+    "day": 30,
+    "distracted": 20,
     "excuse": 10,
+    "form sign 1": 25,
+    "fry, frying": 33,
+    "greedy ": 23,
+    "identity card ": 37,
     "knife ": 2,
     "level sign 1": 7,
     "live in relationship": 6,
+    "market": 26,
     "musician ": 3,
+    "network": 35,
+    "none, nothing ": 38,
     "nurse ": 9,
+    "one day cricket, 50 overs format sign and explanation": 22,
+    "paste": 36,
     "pencil ": 17,
     "proof sign 1": 18,
     "raise ": 11,
     "secret ": 19,
+    "strength": 28,
     "swing ": 8,
+    "truck ": 29,
     "update news, information": 13,
     "washroom": 5
   },

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3ead8b817ed09750c1f73fbe318395e1f37aa660f2019cbf811395d93f7c95f
-size 268010440
+oid sha256:85cd92aae227004bed151925df841e91f547a6d6f924990fa4561973be7d309b
+size 268071880