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: 0.9919
-- Accuracy: 0.8675
-- F1: 0.8671
-- Precision: 0.8724
-- Recall: 0.8675
-- Roc Auc: 0.9580
+- Loss: 0.6709
+- Accuracy: 0.89
+- F1: 0.8900
+- Precision: 0.8904
+- Recall: 0.89
+- Roc Auc: 0.9586
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 23.033333333333335,
+    "eval_accuracy": 0.89,
+    "eval_f1": 0.8899752444299968,
+    "eval_loss": 0.6708542108535767,
+    "eval_precision": 0.890351316184566,
+    "eval_recall": 0.89,
+    "eval_roc_auc": 0.9586093750000001,
+    "eval_runtime": 242.1345,
+    "eval_samples_per_second": 3.304,
+    "eval_steps_per_second": 0.33,
     "total_flos": 0.0,
     "train_loss": 0.1348747643486907,
     "train_runtime": 13951.6237,

runs/Nov01_00-02-26_b0196ce3d334/events.out.tfevents.1730433555.b0196ce3d334.3205.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1e372696884569ac97202847dc110aa00d4db75c6f9516a85283366c37e7d13
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 23.033333333333335,
+    "eval_accuracy": 0.89,
+    "eval_f1": 0.8899752444299968,
+    "eval_loss": 0.6708542108535767,
+    "eval_precision": 0.890351316184566,
+    "eval_recall": 0.89,
+    "eval_roc_auc": 0.9586093750000001,
+    "eval_runtime": 242.1345,
+    "eval_samples_per_second": 3.304,
+    "eval_steps_per_second": 0.33
+}