Model save

README.md

@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Yousefmd/arabert-sentiment-classification](https://huggingface.co/Yousefmd/arabert-sentiment-classification) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5553
-- Macro F1: 0.8261
-- Accuracy: 0.8187
+- Loss: 0.4916
+- Macro F1: 0.8140
+- Accuracy: 0.8325
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| No log        | 1.0   | 341  | 0.5271          | 0.8163   | 0.8114   |
-| 0.485         | 2.0   | 682  | 0.5553          | 0.8261   | 0.8187   |
+| 0.5627        | 1.0   | 1241 | 0.4709          | 0.7885   | 0.8160   |
+| 0.3618        | 2.0   | 2482 | 0.4916          | 0.8140   | 0.8325   |
 
 
 ### Framework versions

config.json

@@ -10,16 +10,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 1024,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "request",
+    "1": "complaint",
+    "2": "satisfaction"
   },
   "initializer_range": 0.02,
   "intermediate_size": 4096,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
+    "complaint": 1,
+    "request": 0,
+    "satisfaction": 2
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,