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: 0.6626
-- Accuracy: 0.5705
-- F1: 0.5488
-- Precision: 0.6097
-- Recall: 0.5705
-- Roc Auc: 0.7163
+- Loss: 0.6919
+- Accuracy: 0.5344
+- F1: 0.5379
+- Precision: 0.5482
+- Recall: 0.5344
+- Roc Auc: 0.5503
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 10.018055555555556,
+    "eval_accuracy": 0.5344427244582043,
+    "eval_f1": 0.5378577631005812,
+    "eval_loss": 0.6919307112693787,
+    "eval_precision": 0.5481776864409259,
+    "eval_recall": 0.5344427244582043,
+    "eval_roc_auc": 0.5503115968565134,
+    "eval_runtime": 661.5315,
+    "eval_samples_per_second": 15.624,
+    "eval_steps_per_second": 0.782,
     "total_flos": 0.0,
     "train_loss": 0.6711029675271776,
     "train_runtime": 1372.1123,

runs/Oct31_14-08-57_267fcede03b9/events.out.tfevents.1730385783.267fcede03b9.1316.11

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:415454edaa9c1eac9cc625458bb839eb2ee338df417463c4c487a76e60a7104e
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 10.018055555555556,
+    "eval_accuracy": 0.5344427244582043,
+    "eval_f1": 0.5378577631005812,
+    "eval_loss": 0.6919307112693787,
+    "eval_precision": 0.5481776864409259,
+    "eval_recall": 0.5344427244582043,
+    "eval_roc_auc": 0.5503115968565134,
+    "eval_runtime": 661.5315,
+    "eval_samples_per_second": 15.624,
+    "eval_steps_per_second": 0.782
+}