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: 0.2527
-- Accuracy: 0.9225
-- F1: 0.9224
-- Precision: 0.9249
-- Recall: 0.9225
-- Roc Auc: 0.9817
+- Loss: 0.2366
+- Accuracy: 0.92
+- F1: 0.9200
+- Precision: 0.9205
+- Recall: 0.92
+- Roc Auc: 0.9722
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 14.033333333333333,
+    "eval_accuracy": 0.92,
+    "eval_f1": 0.9199754924945764,
+    "eval_loss": 0.23657642304897308,
+    "eval_precision": 0.9205151310355185,
+    "eval_recall": 0.92,
+    "eval_roc_auc": 0.9722375,
+    "eval_runtime": 264.7017,
+    "eval_samples_per_second": 3.022,
+    "eval_steps_per_second": 0.151,
     "total_flos": 0.0,
     "train_loss": 0.297223664522171,
     "train_runtime": 8807.032,

runs/Oct30_19-56-09_dfe81386c1ff/events.out.tfevents.1730327261.dfe81386c1ff.1784.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48df7724cb7063e3e636015ae756416a3f00bb16081ac49282b934833c60d280
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 14.033333333333333,
+    "eval_accuracy": 0.92,
+    "eval_f1": 0.9199754924945764,
+    "eval_loss": 0.23657642304897308,
+    "eval_precision": 0.9205151310355185,
+    "eval_recall": 0.92,
+    "eval_roc_auc": 0.9722375,
+    "eval_runtime": 264.7017,
+    "eval_samples_per_second": 3.022,
+    "eval_steps_per_second": 0.151
+}