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: 0.3062
-- Accuracy: 0.9263
-- F1: 0.9263
-- Precision: 0.9263
-- Recall: 0.9263
-- Roc Auc: 0.9740
+- Loss: 0.2973
+- Accuracy: 0.9237
+- F1: 0.9237
+- Precision: 0.9252
+- Recall: 0.9237
+- Roc Auc: 0.9762
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 29.020444444444443,
+    "eval_accuracy": 0.92375,
+    "eval_f1": 0.9236869224718557,
+    "eval_loss": 0.2972504794597626,
+    "eval_precision": 0.9251556709370355,
+    "eval_recall": 0.92375,
+    "eval_roc_auc": 0.976215625,
+    "eval_runtime": 295.0023,
+    "eval_samples_per_second": 2.712,
+    "eval_steps_per_second": 0.136,
     "total_flos": 0.0,
     "train_loss": 0.19098828940921359,
     "train_runtime": 15802.1237,

runs/Oct31_11-41-13_873aafde5ced/events.out.tfevents.1730390993.873aafde5ced.1601.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95f6b54e90e79bd3c88417bf78df8a24024a711821d5b5fe7b39b9b54a71c873
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 29.020444444444443,
+    "eval_accuracy": 0.92375,
+    "eval_f1": 0.9236869224718557,
+    "eval_loss": 0.2972504794597626,
+    "eval_precision": 0.9251556709370355,
+    "eval_recall": 0.92375,
+    "eval_roc_auc": 0.976215625,
+    "eval_runtime": 295.0023,
+    "eval_samples_per_second": 2.712,
+    "eval_steps_per_second": 0.136
+}