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: 0.7004
-- Accuracy: 0.895
-- F1: 0.8948
-- Precision: 0.8982
-- Recall: 0.895
-- Roc Auc: 0.9686
+- Loss: 0.5293
+- Accuracy: 0.89
+- F1: 0.8900
+- Precision: 0.8902
+- Recall: 0.89
+- Roc Auc: 0.9532
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 14.033333333333333,
+    "eval_accuracy": 0.89,
+    "eval_f1": 0.8899889988998899,
+    "eval_loss": 0.5292538404464722,
+    "eval_precision": 0.89015606242497,
+    "eval_recall": 0.89,
+    "eval_roc_auc": 0.9531875,
+    "eval_runtime": 259.9204,
+    "eval_samples_per_second": 3.078,
+    "eval_steps_per_second": 0.308,
     "total_flos": 0.0,
     "train_loss": 0.17177670220534005,
     "train_runtime": 8691.452,

runs/Nov01_00-06-42_e209f47a7eb7/events.out.tfevents.1730428578.e209f47a7eb7.7991.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b99b23221ca743de7272ed4bdc2b27dba272f5251c108e5c27b4d46e6dddca1a
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 14.033333333333333,
+    "eval_accuracy": 0.89,
+    "eval_f1": 0.8899889988998899,
+    "eval_loss": 0.5292538404464722,
+    "eval_precision": 0.89015606242497,
+    "eval_recall": 0.89,
+    "eval_roc_auc": 0.9531875,
+    "eval_runtime": 259.9204,
+    "eval_samples_per_second": 3.078,
+    "eval_steps_per_second": 0.308
+}