umn-cyber/indobert-hoax-detection

README.md

@@ -21,11 +21,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0862
-- Accuracy: 0.9854
-- F1: 0.9847
-- Precision: 0.9851
-- Recall: 0.9844
+- Loss: 0.0543
+- Accuracy: 0.9848
+- F1: 0.9840
+- Precision: 0.9857
+- Recall: 0.9822
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9847767253044655,
+    "eval_f1": 0.9839686498040613,
+    "eval_loss": 0.05431538447737694,
+    "eval_precision": 0.9857244825124911,
+    "eval_recall": 0.9822190611664295,
+    "eval_runtime": 82.271,
+    "eval_samples_per_second": 35.93,
+    "eval_steps_per_second": 1.13,
+    "total_flos": 3.11005644392448e+16,
+    "train_loss": 0.03474135211743263,
+    "train_runtime": 19879.8681,
+    "train_samples_per_second": 5.946,
+    "train_steps_per_second": 0.186
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9861252115059221,
+    "eval_f1": 0.9854144432586268,
+    "eval_loss": 0.049318719655275345,
+    "eval_precision": 0.9857651245551602,
+    "eval_recall": 0.9850640113798008,
+    "eval_runtime": 82.1767,
+    "eval_samples_per_second": 35.959,
+    "eval_steps_per_second": 1.132
+}

test_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9847767253044655,
+    "eval_f1": 0.9839686498040613,
+    "eval_loss": 0.05431538447737694,
+    "eval_precision": 0.9857244825124911,
+    "eval_recall": 0.9822190611664295,
+    "eval_runtime": 82.271,
+    "eval_samples_per_second": 35.93,
+    "eval_steps_per_second": 1.13
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "total_flos": 3.11005644392448e+16,
+    "train_loss": 0.03474135211743263,
+    "train_runtime": 19879.8681,
+    "train_samples_per_second": 5.946,
+    "train_steps_per_second": 0.186
+}