Training in progress epoch 0

README.md

@@ -15,8 +15,8 @@ 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: nan
-- Validation Loss: nan
+- Train Loss: 3.0048
+- Validation Loss: 3.0077
 - Train Accuracy: 0.0
 - Epoch: 0
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| nan        | nan             | 0.0            | 0     |
+| 3.0048     | 3.0077          | 0.0            | 0     |
 
 
 ### Framework versions

config.json

@@ -9,49 +9,49 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "100": "beat, triumph, outdo, be victorious ",
-    "101": "All India Federation of the Deaf",
-    "102": "gratis, free of charge",
-    "103": "New Zealand",
-    "104": "Lotus Temple",
-    "105": "UCO Bank",
-    "106": "close relation",
-    "107": "week, one week ",
-    "108": "nutrition",
-    "109": "bugle",
-    "110": "4G",
-    "111": "treadmill",
-    "112": "illegal, unlawful ",
-    "113": "automatic",
-    "114": "World Association of Sign Language Interpreters ",
-    "115": "security guard",
-    "116": "birds",
-    "117": "pen sign 1",
-    "118": "My name is",
-    "119": "mouthwash"
+    "0": "India",
+    "1": "Shiv Sena",
+    "2": "knife ",
+    "3": "musician ",
+    "4": "affiliate",
+    "5": "washroom",
+    "6": "live in relationship",
+    "7": "level sign 1",
+    "8": "swing ",
+    "9": "nurse ",
+    "10": "excuse",
+    "11": "raise ",
+    "12": "dartboard",
+    "13": "update news, information",
+    "14": "4 four",
+    "15": "Huawei Mobile",
+    "16": "February",
+    "17": "pencil ",
+    "18": "proof sign 1",
+    "19": "secret "
   },
   "initializer_range": 0.02,
   "label2id": {
-    "4G": 110,
-    "All India Federation of the Deaf": 101,
-    "Lotus Temple": 104,
-    "My name is": 118,
-    "New Zealand": 103,
-    "UCO Bank": 105,
-    "World Association of Sign Language Interpreters ": 114,
-    "automatic": 113,
-    "beat, triumph, outdo, be victorious ": 100,
-    "birds": 116,
-    "bugle": 109,
-    "close relation": 106,
-    "gratis, free of charge": 102,
-    "illegal, unlawful ": 112,
-    "mouthwash": 119,
-    "nutrition": 108,
-    "pen sign 1": 117,
-    "security guard": 115,
-    "treadmill": 111,
-    "week, one week ": 107
+    "4 four": 14,
+    "February": 16,
+    "Huawei Mobile": 15,
+    "India": 0,
+    "Shiv Sena": 1,
+    "affiliate": 4,
+    "dartboard": 12,
+    "excuse": 10,
+    "knife ": 2,
+    "level sign 1": 7,
+    "live in relationship": 6,
+    "musician ": 3,
+    "nurse ": 9,
+    "pencil ": 17,
+    "proof sign 1": 18,
+    "raise ": 11,
+    "secret ": 19,
+    "swing ": 8,
+    "update news, information": 13,
+    "washroom": 5
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 268007104
+oid sha256:bf309910da4fa5c4f585d5a8983e558e7d8ab9eb1edf99a9b1fd6ff3a0078f9b
+size 268010440