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: 0.2680
-- Accuracy: 0.87
-- F1: 0.8694
-- Precision: 0.8764
-- Recall: 0.87
-- Roc Auc: 0.9601
+- Loss: 0.3149
+- Accuracy: 0.8675
+- F1: 0.8671
+- Precision: 0.8720
+- Recall: 0.8675
+- Roc Auc: 0.9491
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 14.00377358490566,
+    "eval_accuracy": 0.8675,
+    "eval_f1": 0.8670979713633742,
+    "eval_loss": 0.3148505985736847,
+    "eval_precision": 0.872001214697844,
+    "eval_recall": 0.8675,
+    "eval_roc_auc": 0.9490968750000001,
+    "eval_runtime": 283.4559,
+    "eval_samples_per_second": 2.822,
+    "eval_steps_per_second": 0.095,
     "total_flos": 0.0,
     "train_loss": 0.3328045028674452,
     "train_runtime": 9464.731,

runs/Nov28_10-55-25_2c0079de97b1/events.out.tfevents.1732801086.2c0079de97b1.1900.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9102c2eb00a367a9a9aee7caa1e3688012ce525f619520dfc7ca06eb4955aee7
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 14.00377358490566,
+    "eval_accuracy": 0.8675,
+    "eval_f1": 0.8670979713633742,
+    "eval_loss": 0.3148505985736847,
+    "eval_precision": 0.872001214697844,
+    "eval_recall": 0.8675,
+    "eval_roc_auc": 0.9490968750000001,
+    "eval_runtime": 283.4559,
+    "eval_samples_per_second": 2.822,
+    "eval_steps_per_second": 0.095
+}