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: 0.1367
-- Accuracy: 0.9786
-- F1: 0.9786
-- Precision: 0.9787
-- Recall: 0.9786
-- Roc Auc: 0.9981
+- Loss: 0.0766
+- Accuracy: 0.9816
+- F1: 0.9816
+- Precision: 0.9817
+- Recall: 0.9816
+- Roc Auc: 0.9988
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 16.006603773584906,
+    "eval_accuracy": 0.9815789473684211,
+    "eval_f1": 0.9815751176277491,
+    "eval_loss": 0.076634980738163,
+    "eval_precision": 0.9816937850794174,
+    "eval_recall": 0.9815789473684211,
+    "eval_roc_auc": 0.998780749700383,
+    "eval_runtime": 205.6847,
+    "eval_samples_per_second": 3.695,
+    "eval_steps_per_second": 0.248,
     "total_flos": 0.0,
     "train_loss": 0.0886634129534591,
     "train_runtime": 6948.2294,

runs/Nov28_10-10-18_1bc960171bcc/events.out.tfevents.1732795793.1bc960171bcc.2177.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7d0ab7d9de3150b76cf3136f78f65e69206966b1ff41a96d218e355d5cf581b
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 16.006603773584906,
+    "eval_accuracy": 0.9815789473684211,
+    "eval_f1": 0.9815751176277491,
+    "eval_loss": 0.076634980738163,
+    "eval_precision": 0.9816937850794174,
+    "eval_recall": 0.9815789473684211,
+    "eval_roc_auc": 0.998780749700383,
+    "eval_runtime": 205.6847,
+    "eval_samples_per_second": 3.695,
+    "eval_steps_per_second": 0.248
+}