End of training

README.md

@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4877
-- Accuracy: 0.8393
-- F1: 0.8380
-- Precision: 0.8505
-- Recall: 0.8393
-- Roc Auc: 0.8763
+- Loss: 0.4563
+- Accuracy: 0.8571
+- F1: 0.8571
+- Precision: 0.8571
+- Recall: 0.8571
+- Roc Auc: 0.9037
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 13.005357142857143,
+    "eval_accuracy": 0.8571428571428571,
+    "eval_f1": 0.8571428571428571,
+    "eval_loss": 0.45630571246147156,
+    "eval_precision": 0.8571428571428571,
+    "eval_recall": 0.8571428571428571,
+    "eval_roc_auc": 0.9036989795918368,
+    "eval_runtime": 85.6862,
+    "eval_samples_per_second": 1.307,
+    "eval_steps_per_second": 0.163,
     "total_flos": 0.0,
     "train_loss": 1.1151046856029614,
     "train_runtime": 2232.3924,

runs/Nov03_01-11-52_e1a6a62eafed/events.out.tfevents.1730598654.e1a6a62eafed.2056.15

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30209dbbd748af0a0197ff39997638ee885932fd450c0d46f18603fa466333ad
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 13.005357142857143,
+    "eval_accuracy": 0.8571428571428571,
+    "eval_f1": 0.8571428571428571,
+    "eval_loss": 0.45630571246147156,
+    "eval_precision": 0.8571428571428571,
+    "eval_recall": 0.8571428571428571,
+    "eval_roc_auc": 0.9036989795918368,
+    "eval_runtime": 85.6862,
+    "eval_samples_per_second": 1.307,
+    "eval_steps_per_second": 0.163
+}