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: 0.3806
-- Accuracy: 0.8929
-- F1: 0.8916
-- Precision: 0.9118
-- Recall: 0.8929
-- Roc Auc: 0.9579
+- Loss: 0.5811
+- Accuracy: 0.8393
+- F1: 0.8385
+- Precision: 0.8464
+- Recall: 0.8393
+- Roc Auc: 0.9232
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 74.01333333333334,
+    "eval_accuracy": 0.8392857142857143,
+    "eval_f1": 0.8384615384615385,
+    "eval_loss": 0.581135094165802,
+    "eval_precision": 0.8463541666666667,
+    "eval_recall": 0.8392857142857143,
+    "eval_roc_auc": 0.9231505102040816,
+    "eval_runtime": 81.0532,
+    "eval_samples_per_second": 1.382,
+    "eval_steps_per_second": 0.074,
     "total_flos": 0.0,
     "train_loss": 0.2784769135051303,
     "train_runtime": 11488.6132,

runs/Nov02_11-26-44_6bd908082120/events.out.tfevents.1730558382.6bd908082120.1589.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a484840cb55a4d6b3b0866b79a8f31c194b1eee91765b936efa2a192d72fd4a
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 74.01333333333334,
+    "eval_accuracy": 0.8392857142857143,
+    "eval_f1": 0.8384615384615385,
+    "eval_loss": 0.581135094165802,
+    "eval_precision": 0.8463541666666667,
+    "eval_recall": 0.8392857142857143,
+    "eval_roc_auc": 0.9231505102040816,
+    "eval_runtime": 81.0532,
+    "eval_samples_per_second": 1.382,
+    "eval_steps_per_second": 0.074
+}