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: 0.4423
-- Accuracy: 0.9
-- F1: 0.9000
-- Precision: 0.9004
-- Recall: 0.9
-- Roc Auc: 0.9694
+- Loss: 0.4354
+- Accuracy: 0.8975
+- F1: 0.8974
+- Precision: 0.8997
+- Recall: 0.8975
+- Roc Auc: 0.9593
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 19.004716981132077,
+    "eval_accuracy": 0.8975,
+    "eval_f1": 0.8973556563918009,
+    "eval_loss": 0.43537405133247375,
+    "eval_precision": 0.8997485857950974,
+    "eval_recall": 0.8975,
+    "eval_roc_auc": 0.959253125,
+    "eval_runtime": 231.5442,
+    "eval_samples_per_second": 3.455,
+    "eval_steps_per_second": 0.233,
     "total_flos": 0.0,
     "train_loss": 0.20739825886692698,
     "train_runtime": 12386.8873,

runs/Nov05_21-32-49_2b08c7187904/events.out.tfevents.1730855010.2b08c7187904.337382.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3c981284465581362964fb7be6cbd80f18659d487dfc9872a532d33920c66b1
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 19.004716981132077,
+    "eval_accuracy": 0.8975,
+    "eval_f1": 0.8973556563918009,
+    "eval_loss": 0.43537405133247375,
+    "eval_precision": 0.8997485857950974,
+    "eval_recall": 0.8975,
+    "eval_roc_auc": 0.959253125,
+    "eval_runtime": 231.5442,
+    "eval_samples_per_second": 3.455,
+    "eval_steps_per_second": 0.233
+}