End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [RogerB/afro-xlmr-large-kinte-domain-kinte-task](https://huggingface.co/RogerB/afro-xlmr-large-kinte-domain-kinte-task) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9054
-- F1: 0.6979
+- Loss: 1.0146
+- F1: 0.4825
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.9255        | 1.0   | 1013 | 0.7178          | 0.7123 |
-| 0.7448        | 2.0   | 2026 | 0.5535          | 0.7888 |
-| 0.6181        | 3.0   | 3039 | 0.5152          | 0.8165 |
+| 1.109         | 1.0   | 1013 | 1.0886          | 0.3808 |
+| 1.094         | 2.0   | 2026 | 1.0201          | 0.5140 |
+| 1.0311        | 3.0   | 3039 | 0.9908          | 0.5209 |
 
 
 ### Framework versions

config.json

@@ -11,16 +11,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 1024,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "positive",
+    "1": "neutral",
+    "2": "negative"
   },
   "initializer_range": 0.02,
   "intermediate_size": 4096,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
+    "negative": 2,
+    "neutral": 1,
+    "positive": 0
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,