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: 0.0289
-- Accuracy: 0.9946
-- F1: 0.9946
-- Precision: 0.9947
-- Recall: 0.9946
+- Loss: 0.0329
+- Accuracy: 0.9921
+- F1: 0.9921
+- Precision: 0.9922
+- Recall: 0.9921
 - Roc Auc: 0.9997
 
 ## Model description

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 23.023628691983124,
+    "eval_accuracy": 0.9921052631578947,
+    "eval_f1": 0.9921042784970867,
+    "eval_loss": 0.03294637054204941,
+    "eval_precision": 0.9921583036667626,
+    "eval_recall": 0.9921052631578947,
+    "eval_roc_auc": 0.9996640134117534,
+    "eval_runtime": 147.4384,
+    "eval_samples_per_second": 5.155,
+    "eval_steps_per_second": 0.258,
     "total_flos": 0.0,
     "train_loss": 0.1262424577200463,
     "train_runtime": 8776.2165,

runs/Oct31_11-39-52_267fcede03b9/events.out.tfevents.1730383730.267fcede03b9.1316.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c053930d1a9c994782ca4994feaa7754c26ad9224573a79d616c8b5a003d8a44
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 23.023628691983124,
+    "eval_accuracy": 0.9921052631578947,
+    "eval_f1": 0.9921042784970867,
+    "eval_loss": 0.03294637054204941,
+    "eval_precision": 0.9921583036667626,
+    "eval_recall": 0.9921052631578947,
+    "eval_roc_auc": 0.9996640134117534,
+    "eval_runtime": 147.4384,
+    "eval_samples_per_second": 5.155,
+    "eval_steps_per_second": 0.258
+}