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: 0.6788
-- Accuracy: 0.8974
-- F1: 0.8974
-- Precision: 0.8976
-- Recall: 0.8974
-- Roc Auc: 0.9667
+- Loss: 0.4342
+- Accuracy: 0.8988
+- F1: 0.8987
+- Precision: 0.8991
+- Recall: 0.8988
+- Roc Auc: 0.9591
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 14.027111111111111,
+    "eval_accuracy": 0.89875,
+    "eval_f1": 0.898730853802047,
+    "eval_loss": 0.43419715762138367,
+    "eval_precision": 0.8990517829108263,
+    "eval_recall": 0.89875,
+    "eval_roc_auc": 0.9590593749999999,
+    "eval_runtime": 239.2187,
+    "eval_samples_per_second": 3.344,
+    "eval_steps_per_second": 0.334,
     "total_flos": 0.0,
     "train_loss": 0.1576677147017585,
     "train_runtime": 8087.6398,

runs/Oct31_16-12-44_873aafde5ced/events.out.tfevents.1730399526.873aafde5ced.70223.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54e8432d71de90bcb1fa917e83acfae1b87bf9658443fd792ec69a6b73d82881
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 14.027111111111111,
+    "eval_accuracy": 0.89875,
+    "eval_f1": 0.898730853802047,
+    "eval_loss": 0.43419715762138367,
+    "eval_precision": 0.8990517829108263,
+    "eval_recall": 0.89875,
+    "eval_roc_auc": 0.9590593749999999,
+    "eval_runtime": 239.2187,
+    "eval_samples_per_second": 3.344,
+    "eval_steps_per_second": 0.334
+}