End of training

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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9796
-- Accuracy: 0.7881
-- F1: 0.5335
-- Precision: 0.5938
-- Recall: 0.4844
+- Loss: 0.4390
+- Accuracy: 0.7921
+- F1: 0.6100
+- Precision: 0.5745
+- Recall: 0.6501
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.7921388101983002,
+    "eval_f1": 0.609966777408638,
+    "eval_loss": 0.4390259087085724,
+    "eval_precision": 0.574468085106383,
+    "eval_recall": 0.6501416430594901,
+    "eval_runtime": 11.1416,
+    "eval_samples": 1411,
+    "eval_samples_per_second": 253.464,
+    "eval_steps_per_second": 4.039,
+    "train_loss": 0.24707949987121383,
+    "train_runtime": 629.3062,
+    "train_samples": 9881,
+    "train_samples_per_second": 1570.142,
+    "train_steps_per_second": 49.102
+}

eval_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.7921388101983002,
+    "eval_f1": 0.609966777408638,
+    "eval_loss": 0.4390259087085724,
+    "eval_precision": 0.574468085106383,
+    "eval_recall": 0.6501416430594901,
+    "eval_runtime": 11.1416,
+    "eval_samples": 1411,
+    "eval_samples_per_second": 253.464,
+    "eval_steps_per_second": 4.039
+}

predict_results.txt

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