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: 0.2020
-- Accuracy: 0.9687
-- F1: 0.9687
-- Precision: 0.9705
-- Recall: 0.9687
-- Roc Auc: 0.9991
+- Loss: 0.0688
+- Accuracy: 0.9908
+- F1: 0.9908
+- Precision: 0.9909
+- Recall: 0.9908
+- Roc Auc: 0.9977
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 23.033333333333335,
+    "eval_accuracy": 0.9907894736842106,
+    "eval_f1": 0.990787957847616,
+    "eval_loss": 0.0687595009803772,
+    "eval_precision": 0.9908722942838463,
+    "eval_recall": 0.9907894736842106,
+    "eval_roc_auc": 0.9976827316748759,
+    "eval_runtime": 181.0072,
+    "eval_samples_per_second": 4.199,
+    "eval_steps_per_second": 0.42,
     "total_flos": 0.0,
     "train_loss": 0.04350501235361056,
     "train_runtime": 9176.4013,

runs/Oct31_05-42-54_267fcede03b9/events.out.tfevents.1730362757.267fcede03b9.1316.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9903ae179bfa91f5527058e712985c182a9075d1dd2bfa9066a822bfea37d7fd
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 23.033333333333335,
+    "eval_accuracy": 0.9907894736842106,
+    "eval_f1": 0.990787957847616,
+    "eval_loss": 0.0687595009803772,
+    "eval_precision": 0.9908722942838463,
+    "eval_recall": 0.9907894736842106,
+    "eval_roc_auc": 0.9976827316748759,
+    "eval_runtime": 181.0072,
+    "eval_samples_per_second": 4.199,
+    "eval_steps_per_second": 0.42
+}