Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
+base_model: hiseulgi/stunting-berita-sentiment
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # stunting-berita-sentiment
 
-This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa) on the None dataset.
+This model is a fine-tuned version of [hiseulgi/stunting-berita-sentiment](https://huggingface.co/hiseulgi/stunting-berita-sentiment) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6556
-- Accuracy: 0.8956
-- Precision: 0.8619
-- Recall: 0.7914
-- F1: 0.8205
+- Loss: 0.3918
+- Accuracy: 0.9542
+- Precision: 0.9352
+- Recall: 0.9004
+- F1: 0.9169
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 350  | 0.5829          | 0.7411   | 0.6218    | 0.7453 | 0.6545 |
-| 0.5383        | 2.0   | 700  | 0.4077          | 0.8655   | 0.8014    | 0.7657 | 0.7769 |
-| 0.3025        | 3.0   | 1050 | 0.5633          | 0.8827   | 0.8880    | 0.7199 | 0.7814 |
-| 0.3025        | 4.0   | 1400 | 0.6276          | 0.8999   | 0.8991    | 0.7645 | 0.8184 |
-| 0.0977        | 5.0   | 1750 | 0.6556          | 0.8956   | 0.8619    | 0.7914 | 0.8205 |
+| 0.4224        | 1.0   | 751  | 0.2728          | 0.9442   | 0.9145    | 0.8601 | 0.8826 |
+| 0.0762        | 2.0   | 1502 | 0.4584          | 0.9385   | 0.9547    | 0.8248 | 0.8790 |
+| 0.039         | 3.0   | 2253 | 0.3609          | 0.9528   | 0.9566    | 0.8739 | 0.9103 |
+| 0.0075        | 4.0   | 3004 | 0.3227          | 0.9628   | 0.9249    | 0.9471 | 0.9357 |
+| 0.0016        | 5.0   | 3755 | 0.3918          | 0.9542   | 0.9352    | 0.9004 | 0.9169 |
 
 
 ### Framework versions

model.safetensors

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runs/Jul17_13-17-05_426d87bd6a22/events.out.tfevents.1721222226.426d87bd6a22.34.0

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runs/Jul17_13-17-05_426d87bd6a22/events.out.tfevents.1721224059.426d87bd6a22.34.1

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