Upload TFDistilBertForTokenClassification

README.md

@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ChakuChidiya/distilbert-base-uncased-G2](https://huggingface.co/ChakuChidiya/distilbert-base-uncased-G2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2177
-- Validation Loss: 0.3443
+- Train Loss: 0.2192
+- Validation Loss: 0.3240
 - Epoch: 2
 
 ## Model description
@@ -43,9 +43,9 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.3570     | 0.3391          | 0     |
-| 0.2655     | 0.3447          | 1     |
-| 0.2177     | 0.3443          | 2     |
+| 0.3628     | 0.3204          | 0     |
+| 0.2708     | 0.3328          | 1     |
+| 0.2192     | 0.3240          | 2     |
 
 
 ### Framework versions

config.json

@@ -10,25 +10,25 @@
   "hidden_dim": 3072,
   "id2label": {
     "0": "O",
-    "1": "B-treatment",
-    "2": "I-treatment",
+    "1": "B-allergy_name",
+    "2": "I-allergy_name",
     "3": "B-cancer",
     "4": "I-cancer",
     "5": "B-chronic_disease",
     "6": "I-chronic_disease",
-    "7": "B-allergy_name",
-    "8": "I-allergy_name"
+    "7": "B-treatment",
+    "8": "I-treatment"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "B-allergy_name": 7,
+    "B-allergy_name": 1,
     "B-cancer": 3,
     "B-chronic_disease": 5,
-    "B-treatment": 1,
-    "I-allergy_name": 8,
+    "B-treatment": 7,
+    "I-allergy_name": 2,
     "I-cancer": 4,
     "I-chronic_disease": 6,
-    "I-treatment": 2,
+    "I-treatment": 8,
     "O": 0
   },
   "max_position_embeddings": 512,

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dd25dec4a93ec2018506026a3d03a60ce7dd8fda684f5cd92479ffb4d9a6a9be
 size 265606416