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: 0.5089
-- Accuracy: 0.8704
-- F1: 0.8702
-- Precision: 0.8707
-- Recall: 0.8704
-- Roc Auc: 0.8764
+- Loss: 0.3875
+- Accuracy: 0.8482
+- F1: 0.8479
+- Precision: 0.8510
+- Recall: 0.8482
+- Roc Auc: 0.8997
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 11.02962962962963,
+    "eval_accuracy": 0.8482142857142857,
+    "eval_f1": 0.8479111750139788,
+    "eval_loss": 0.3875451982021332,
+    "eval_precision": 0.8510125361620057,
+    "eval_recall": 0.8482142857142857,
+    "eval_roc_auc": 0.8997130102040816,
+    "eval_runtime": 88.2744,
+    "eval_samples_per_second": 1.269,
+    "eval_steps_per_second": 0.159,
     "total_flos": 0.0,
     "train_loss": 0.3416279900221177,
     "train_runtime": 2003.2231,

runs/Nov28_19-13-01_454a2384ec83/events.out.tfevents.1732823304.454a2384ec83.1129.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d53a810327093ce3ad3394d28b79321c5a010a39ea531f89f10e03ac7052da6
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 11.02962962962963,
+    "eval_accuracy": 0.8482142857142857,
+    "eval_f1": 0.8479111750139788,
+    "eval_loss": 0.3875451982021332,
+    "eval_precision": 0.8510125361620057,
+    "eval_recall": 0.8482142857142857,
+    "eval_roc_auc": 0.8997130102040816,
+    "eval_runtime": 88.2744,
+    "eval_samples_per_second": 1.269,
+    "eval_steps_per_second": 0.159
+}