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: 0.6065
-- Accuracy: 0.7143
-- F1: 0.7143
-- Precision: 0.7143
-- Recall: 0.7143
-- Roc Auc: 0.8265
+- Loss: 0.6536
+- Accuracy: 0.7232
+- F1: 0.7227
+- Precision: 0.7250
+- Recall: 0.7232
+- Roc Auc: 0.8128
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "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,
     "total_flos": 0.0,
     "train_loss": 1.2835891316918766,
     "train_runtime": 7599.0078,

runs/Nov02_02-18-17_6bd908082120/events.out.tfevents.1730521577.6bd908082120.1589.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6de474935444d2b514538b5b2df3e0ba0d9d2434e795494df6f95420e81928c4
+size 611

test_results.json

@@ -1,12 +1,12 @@
 {
-    "epoch": 27.01818181818182,
-    "eval_accuracy": 0.8928571428571429,
-    "eval_f1": 0.8928229665071771,
-    "eval_loss": 0.3940705955028534,
-    "eval_precision": 0.8933588761174968,
-    "eval_recall": 0.8928571428571429,
-    "eval_roc_auc": 0.9384566326530612,
-    "eval_runtime": 86.4873,
-    "eval_samples_per_second": 1.295,
-    "eval_steps_per_second": 0.069
+    "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
 }