End of training

README.md

@@ -19,11 +19,11 @@ 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: 0.0522
-- Accuracy: 0.9896
-- F1: 0.9896
-- Precision: 0.9896
-- Recall: 0.9896
+- Loss: 0.0466
+- Accuracy: 0.9908
+- F1: 0.9908
+- Precision: 0.9910
+- Recall: 0.9908
 - Roc Auc: 0.9996
 
 ## Model description

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 29.033333333333335,
+    "eval_accuracy": 0.9907894736842106,
+    "eval_f1": 0.9907871278014149,
+    "eval_loss": 0.04657556489109993,
+    "eval_precision": 0.9909531124766231,
+    "eval_recall": 0.9907894736842106,
+    "eval_roc_auc": 0.9996085929435888,
+    "eval_runtime": 182.265,
+    "eval_samples_per_second": 4.17,
+    "eval_steps_per_second": 0.208,
     "total_flos": 0.0,
     "train_loss": 0.1094788729896148,
     "train_runtime": 11700.1875,

runs/Oct30_16-21-15_dfe81386c1ff/events.out.tfevents.1730317177.dfe81386c1ff.1784.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ef323e8ded4e3b705c0e07ab555ce87f95b4f2e198724abd35630d7d1edf2f7
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 29.033333333333335,
+    "eval_accuracy": 0.9907894736842106,
+    "eval_f1": 0.9907871278014149,
+    "eval_loss": 0.04657556489109993,
+    "eval_precision": 0.9909531124766231,
+    "eval_recall": 0.9907894736842106,
+    "eval_roc_auc": 0.9996085929435888,
+    "eval_runtime": 182.265,
+    "eval_samples_per_second": 4.17,
+    "eval_steps_per_second": 0.208
+}