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: 0.4785
-- Accuracy: 0.875
-- F1: 0.8746
-- Precision: 0.8794
-- Recall: 0.875
-- Roc Auc: 0.9554
+- Loss: 0.4752
+- Accuracy: 0.8929
+- F1: 0.8927
+- Precision: 0.8949
+- Recall: 0.8929
+- Roc Auc: 0.9283
 
 ## Model description
 

all_results.json

@@ -1,14 +1,14 @@
 {
     "epoch": 74.01333333333334,
-    "eval_accuracy": 0.7232142857142857,
-    "eval_f1": 0.7226615544372554,
-    "eval_loss": 0.6535742282867432,
-    "eval_precision": 0.7250080360012857,
-    "eval_recall": 0.7232142857142857,
-    "eval_roc_auc": 0.8128188775510204,
-    "eval_runtime": 70.7153,
-    "eval_samples_per_second": 1.584,
-    "eval_steps_per_second": 0.085,
+    "eval_accuracy": 0.8928571428571429,
+    "eval_f1": 0.89272030651341,
+    "eval_loss": 0.4751829206943512,
+    "eval_precision": 0.8948717948717949,
+    "eval_recall": 0.8928571428571429,
+    "eval_roc_auc": 0.9282525510204083,
+    "eval_runtime": 79.9249,
+    "eval_samples_per_second": 1.401,
+    "eval_steps_per_second": 0.075,
     "total_flos": 0.0,
     "train_loss": 0.2718322902255588,
     "train_runtime": 11834.6697,

runs/Nov02_04-55-56_6bd908082120/events.out.tfevents.1730535278.6bd908082120.1589.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53b708b5b9cc80378cdedfe51ab78b68247c3dc28dbccc3e1d372dce51cab153
+size 611

test_results.json

@@ -1,12 +1,12 @@
 {
-    "epoch": 45.00606060606061,
-    "eval_accuracy": 0.7232142857142857,
-    "eval_f1": 0.7226615544372554,
-    "eval_loss": 0.6535742282867432,
-    "eval_precision": 0.7250080360012857,
-    "eval_recall": 0.7232142857142857,
-    "eval_roc_auc": 0.8128188775510204,
-    "eval_runtime": 70.7153,
-    "eval_samples_per_second": 1.584,
-    "eval_steps_per_second": 0.085
+    "epoch": 74.01333333333334,
+    "eval_accuracy": 0.8928571428571429,
+    "eval_f1": 0.89272030651341,
+    "eval_loss": 0.4751829206943512,
+    "eval_precision": 0.8948717948717949,
+    "eval_recall": 0.8928571428571429,
+    "eval_roc_auc": 0.9282525510204083,
+    "eval_runtime": 79.9249,
+    "eval_samples_per_second": 1.401,
+    "eval_steps_per_second": 0.075
 }