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: 0.4228
-- Accuracy: 0.8036
-- F1: 0.8030
-- Precision: 0.8071
-- Recall: 0.8036
-- Roc Auc: 0.8929
+- Loss: 0.5378
+- Accuracy: 0.7946
+- F1: 0.7946
+- Precision: 0.7947
+- Recall: 0.7946
+- Roc Auc: 0.8677
 
 ## Model description
 

all_results.json

@@ -1,14 +1,14 @@
 {
     "epoch": 15.021428571428572,
-    "eval_accuracy": 0.8571428571428571,
-    "eval_f1": 0.8564102564102564,
-    "eval_loss": 0.4933887720108032,
-    "eval_precision": 0.8645833333333333,
-    "eval_recall": 0.8571428571428571,
-    "eval_roc_auc": 0.8982780612244898,
-    "eval_runtime": 87.6087,
-    "eval_samples_per_second": 1.278,
-    "eval_steps_per_second": 0.137,
+    "eval_accuracy": 0.7946428571428571,
+    "eval_f1": 0.7946264848919716,
+    "eval_loss": 0.5377689599990845,
+    "eval_precision": 0.7947368421052632,
+    "eval_recall": 0.7946428571428571,
+    "eval_roc_auc": 0.8676658163265306,
+    "eval_runtime": 80.913,
+    "eval_samples_per_second": 1.384,
+    "eval_steps_per_second": 0.173,
     "total_flos": 0.0,
     "train_loss": 0.95839160627073,
     "train_runtime": 2702.0052,

runs/Nov02_23-25-13_e1a6a62eafed/events.out.tfevents.1730592719.e1a6a62eafed.2056.11

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:717f9a45b943557d816375cf9f901d4b881ba53a16677184749e67a9a08b770b
+size 611

test_results.json

@@ -1,12 +1,12 @@
 {
-    "epoch": 24.027272727272727,
-    "eval_accuracy": 0.8571428571428571,
-    "eval_f1": 0.8564102564102564,
-    "eval_loss": 0.4933887720108032,
-    "eval_precision": 0.8645833333333333,
-    "eval_recall": 0.8571428571428571,
-    "eval_roc_auc": 0.8982780612244898,
-    "eval_runtime": 87.6087,
-    "eval_samples_per_second": 1.278,
-    "eval_steps_per_second": 0.137
+    "epoch": 15.021428571428572,
+    "eval_accuracy": 0.7946428571428571,
+    "eval_f1": 0.7946264848919716,
+    "eval_loss": 0.5377689599990845,
+    "eval_precision": 0.7947368421052632,
+    "eval_recall": 0.7946428571428571,
+    "eval_roc_auc": 0.8676658163265306,
+    "eval_runtime": 80.913,
+    "eval_samples_per_second": 1.384,
+    "eval_steps_per_second": 0.173
 }