Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2791
-- Accuracy: 0.9003
-- Precision: 0.9003
-- Recall: 0.9003
-- F1: 0.9003
+- Loss: 0.7068
+- Accuracy: 0.77
+- Precision: 0.77
+- Recall: 0.77
+- F1: 0.7700
 
 ## Model description
 
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 151  | 0.2659          | 0.9037   | 0.9037    | 0.9037 | 0.9037 |
-| No log        | 2.0   | 302  | 0.2791          | 0.9003   | 0.9003    | 0.9003 | 0.9003 |
+| No log        | 1.0   | 151  | 0.6582          | 0.6967   | 0.6967    | 0.6967 | 0.6967 |
+| No log        | 2.0   | 302  | 0.7068          | 0.77     | 0.77      | 0.77   | 0.7700 |
 
 
 ### Framework versions

config.json

@@ -12,13 +12,15 @@
   "hidden_size": 768,
   "id2label": {
     "0": "Negatif",
-    "1": "Positif"
+    "1": "Netral",
+    "2": "Positif"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "Negatif": 0,
-    "Positif": 1
+    "Netral": 1,
+    "Positif": 2
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

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runs/May31_16-58-04_1e86ea438e7b/events.out.tfevents.1717174685.1e86ea438e7b.764.0

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training_args.bin

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