Model save

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: Yousefmd/arabert-sentiment-classification
 tags:
 - generated_from_trainer
 metrics:
@@ -13,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # feedback-classification
 
-This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on the None dataset.
+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: 0.5082
-- Macro F1: 0.8425
-- Accuracy: 0.8406
+- Loss: 0.5553
+- Macro F1: 0.8261
+- Accuracy: 0.8187
 
 ## Model description
 
@@ -50,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| No log        | 1.0   | 341  | 0.5222          | 0.8353   | 0.8333   |
-| 0.5602        | 2.0   | 682  | 0.5082          | 0.8425   | 0.8406   |
+| No log        | 1.0   | 341  | 0.5271          | 0.8163   | 0.8114   |
+| 0.485         | 2.0   | 682  | 0.5553          | 0.8261   | 0.8187   |
 
 
 ### Framework versions
 
-- Transformers 4.30.1
+- Transformers 4.34.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.12.0
-- Tokenizers 0.13.3
+- Datasets 2.14.5
+- Tokenizers 0.14.0

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,