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-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1299
-- Accuracy: 0.7895
-- F1: 0.5293
-- Precision: 0.6007
-- Recall: 0.4731
+- Loss: 0.4486
+- Accuracy: 0.7911
+- F1: 0.6184
+- Precision: 0.5690
+- Recall: 0.6771
 
 ## Model description
 

all_results.json

@@ -0,0 +1,17 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.7910764872521246,
+    "eval_f1": 0.6183699870633893,
+    "eval_loss": 0.4485553205013275,
+    "eval_precision": 0.569047619047619,
+    "eval_recall": 0.6770538243626062,
+    "eval_runtime": 35.7337,
+    "eval_samples": 1411,
+    "eval_samples_per_second": 79.029,
+    "eval_steps_per_second": 1.259,
+    "train_loss": 0.22202195041002193,
+    "train_runtime": 2055.0485,
+    "train_samples": 9881,
+    "train_samples_per_second": 480.816,
+    "train_steps_per_second": 15.036
+}

eval_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.7910764872521246,
+    "eval_f1": 0.6183699870633893,
+    "eval_loss": 0.4485553205013275,
+    "eval_precision": 0.569047619047619,
+    "eval_recall": 0.6770538243626062,
+    "eval_runtime": 35.7337,
+    "eval_samples": 1411,
+    "eval_samples_per_second": 79.029,
+    "eval_steps_per_second": 1.259
+}

predict_results.txt

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