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: 0.2653
-- Accuracy: 0.925
-- F1: 0.9250
-- Precision: 0.9252
-- Recall: 0.925
-- Roc Auc: 0.9813
+- Loss: 0.2639
+- Accuracy: 0.9225
+- F1: 0.9225
+- Precision: 0.9225
+- Recall: 0.9225
+- Roc Auc: 0.9782
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 23.033333333333335,
+    "eval_accuracy": 0.9225,
+    "eval_f1": 0.9224995156219726,
+    "eval_loss": 0.2639372944831848,
+    "eval_precision": 0.9225105627640692,
+    "eval_recall": 0.9225,
+    "eval_roc_auc": 0.978240625,
+    "eval_runtime": 218.6645,
+    "eval_samples_per_second": 3.659,
+    "eval_steps_per_second": 0.183,
     "total_flos": 0.0,
     "train_loss": 0.22850769038001698,
     "train_runtime": 13416.1174,

runs/Oct31_04-13-58_dfe81386c1ff/events.out.tfevents.1730361696.dfe81386c1ff.1784.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:001c1b7136195df3928e138be93304fcc5892dcd6e41611709a2e11c4db1fd30
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 23.033333333333335,
+    "eval_accuracy": 0.9225,
+    "eval_f1": 0.9224995156219726,
+    "eval_loss": 0.2639372944831848,
+    "eval_precision": 0.9225105627640692,
+    "eval_recall": 0.9225,
+    "eval_roc_auc": 0.978240625,
+    "eval_runtime": 218.6645,
+    "eval_samples_per_second": 3.659,
+    "eval_steps_per_second": 0.183
+}