End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: indobenchmark/indobert-large-p1
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: NusaBERT-large
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # NusaBERT-large
 
 This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3268
+- Accuracy: 0.7118
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 1.35,
+    "eval_accuracy": 0.7117631908735097,
+    "eval_loss": 1.3268314599990845,
+    "eval_runtime": 3605.525,
+    "eval_samples": 4955347,
+    "eval_samples_per_second": 1374.376,
+    "eval_steps_per_second": 5.369,
+    "perplexity": 3.769081960487532,
+    "train_loss": 1.5473345408935546,
+    "train_runtime": 243315.0329,
+    "train_samples": 94568241,
+    "train_samples_per_second": 526.067,
+    "train_steps_per_second": 2.055
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 1.35,
+    "eval_accuracy": 0.7117631908735097,
+    "eval_loss": 1.3268314599990845,
+    "eval_runtime": 3605.525,
+    "eval_samples": 4955347,
+    "eval_samples_per_second": 1374.376,
+    "eval_steps_per_second": 5.369,
+    "perplexity": 3.769081960487532
+}

runs/Feb23_14-55-23_bookbot-h100/events.out.tfevents.1708947099.bookbot-h100.534964.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8692f5a58fffcd56afb7aef17600248432aaf7715578331d3d6d60ef092ff1ff
+size 417

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.35,
+    "train_loss": 1.5473345408935546,
+    "train_runtime": 243315.0329,
+    "train_samples": 94568241,
+    "train_samples_per_second": 526.067,
+    "train_steps_per_second": 2.055
+}