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: 0.0816
-- Accuracy: 0.9871
-- F1: 0.9865
-- Precision: 0.9865
-- Recall: 0.9865
+- Loss: 0.0452
+- Accuracy: 0.9861
+- F1: 0.9854
+- Precision: 0.9837
+- Recall: 0.9872
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9861299052774019,
+    "eval_f1": 0.9854455094071708,
+    "eval_loss": 0.045191410928964615,
+    "eval_precision": 0.9836995038979447,
+    "eval_recall": 0.9871977240398293,
+    "eval_runtime": 82.3688,
+    "eval_samples_per_second": 35.887,
+    "eval_steps_per_second": 1.129,
+    "total_flos": 3.11005644392448e+16,
+    "train_loss": 0.03944617702703827,
+    "train_runtime": 23402.751,
+    "train_samples_per_second": 10.101,
+    "train_steps_per_second": 0.316
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9868020304568528,
+    "eval_f1": 0.9861751152073732,
+    "eval_loss": 0.04318568482995033,
+    "eval_precision": 0.9830388692579505,
+    "eval_recall": 0.9893314366998578,
+    "eval_runtime": 82.3694,
+    "eval_samples_per_second": 35.875,
+    "eval_steps_per_second": 1.129
+}

test_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9861299052774019,
+    "eval_f1": 0.9854455094071708,
+    "eval_loss": 0.045191410928964615,
+    "eval_precision": 0.9836995038979447,
+    "eval_recall": 0.9871977240398293,
+    "eval_runtime": 82.3688,
+    "eval_samples_per_second": 35.887,
+    "eval_steps_per_second": 1.129
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "total_flos": 3.11005644392448e+16,
+    "train_loss": 0.03944617702703827,
+    "train_runtime": 23402.751,
+    "train_samples_per_second": 10.101,
+    "train_steps_per_second": 0.316
+}