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: 0.6637
-- Accuracy: 0.8975
-- F1: 0.8974
-- Precision: 0.8983
-- Recall: 0.8975
-- Roc Auc: 0.9671
+- Loss: 0.7124
+- Accuracy: 0.89
+- F1: 0.8899
+- Precision: 0.8914
+- Recall: 0.89
+- Roc Auc: 0.9556
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 17.033333333333335,
+    "eval_accuracy": 0.89,
+    "eval_f1": 0.8899009108197379,
+    "eval_loss": 0.7123522758483887,
+    "eval_precision": 0.8914090726615816,
+    "eval_recall": 0.89,
+    "eval_roc_auc": 0.9556499999999999,
+    "eval_runtime": 260.1829,
+    "eval_samples_per_second": 3.075,
+    "eval_steps_per_second": 0.307,
     "total_flos": 0.0,
     "train_loss": 0.15650139161282114,
     "train_runtime": 11376.0239,

runs/Oct31_08-19-30_267fcede03b9/events.out.tfevents.1730374431.267fcede03b9.1316.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5d96b0ba35383afbfb34b344d8ebe9777185f5ce6f759636670c40e30a6925e
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 17.033333333333335,
+    "eval_accuracy": 0.89,
+    "eval_f1": 0.8899009108197379,
+    "eval_loss": 0.7123522758483887,
+    "eval_precision": 0.8914090726615816,
+    "eval_recall": 0.89,
+    "eval_roc_auc": 0.9556499999999999,
+    "eval_runtime": 260.1829,
+    "eval_samples_per_second": 3.075,
+    "eval_steps_per_second": 0.307
+}