Training complete

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4303
-- Accuracy: 0.8922
+- Loss: 0.4290
+- Accuracy: 0.8926
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4797        | 1.0   | 1062 | 0.5006          | 0.8584   |
-| 0.3834        | 2.0   | 2124 | 0.4338          | 0.8781   |
-| 0.0787        | 3.0   | 3186 | 0.4303          | 0.8922   |
+| 0.4808        | 1.0   | 1062 | 0.5176          | 0.8547   |
+| 0.3479        | 2.0   | 2124 | 0.4521          | 0.8737   |
+| 0.0921        | 3.0   | 3186 | 0.4290          | 0.8926   |
 
 
 ### Framework versions

config.json

@@ -11,50 +11,50 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5",
-    "6": "LABEL_6",
-    "7": "LABEL_7",
-    "8": "LABEL_8",
-    "9": "LABEL_9",
-    "10": "LABEL_10",
-    "11": "LABEL_11",
-    "12": "LABEL_12",
-    "13": "LABEL_13",
-    "14": "LABEL_14",
-    "15": "LABEL_15",
-    "16": "LABEL_16",
-    "17": "LABEL_17",
-    "18": "LABEL_18",
-    "19": "LABEL_19"
+    "0": "label_1",
+    "1": "label_2",
+    "2": "label_3",
+    "3": "label_4",
+    "4": "label_5",
+    "5": "label_6",
+    "6": "label_7",
+    "7": "label_8",
+    "8": "label_9",
+    "9": "label_10",
+    "10": "label_11",
+    "11": "label_12",
+    "12": "label_13",
+    "13": "label_14",
+    "14": "label_15",
+    "15": "label_16",
+    "16": "label_17",
+    "17": "label_18",
+    "18": "label_19",
+    "19": "label_20"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
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+    "label_5": 4,
+    "label_6": 5,
+    "label_7": 6,
+    "label_8": 7,
+    "label_9": 8
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,

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training_args.bin

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