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: 0.2722
-- Accuracy: 0.93
-- F1: 0.9300
-- Precision: 0.9304
-- Recall: 0.93
-- Roc Auc: 0.9812
+- Loss: 0.2287
+- Accuracy: 0.9287
+- F1: 0.9287
+- Precision: 0.9288
+- Recall: 0.9287
+- Roc Auc: 0.9790
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 23.033333333333335,
+    "eval_accuracy": 0.92875,
+    "eval_f1": 0.9287489980327848,
+    "eval_loss": 0.22870706021785736,
+    "eval_precision": 0.928774118544168,
+    "eval_recall": 0.92875,
+    "eval_roc_auc": 0.979040625,
+    "eval_runtime": 224.2879,
+    "eval_samples_per_second": 3.567,
+    "eval_steps_per_second": 0.178,
     "total_flos": 0.0,
     "train_loss": 0.22017588218053183,
     "train_runtime": 13247.8085,

runs/Oct31_00-28-54_dfe81386c1ff/events.out.tfevents.1730348024.dfe81386c1ff.1784.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:450149f89ee2bc8e38ec11cef8c97e4ab03c5083f4abc547004ea079edff289b
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 23.033333333333335,
+    "eval_accuracy": 0.92875,
+    "eval_f1": 0.9287489980327848,
+    "eval_loss": 0.22870706021785736,
+    "eval_precision": 0.928774118544168,
+    "eval_recall": 0.92875,
+    "eval_roc_auc": 0.979040625,
+    "eval_runtime": 224.2879,
+    "eval_samples_per_second": 3.567,
+    "eval_steps_per_second": 0.178
+}