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: 0.4603
-- Accuracy: 0.8975
-- F1: 0.8975
-- Precision: 0.8980
-- Recall: 0.8975
-- Roc Auc: 0.9484
+- Loss: 0.4851
+- Accuracy: 0.8925
+- F1: 0.8924
+- Precision: 0.8937
+- Recall: 0.8925
+- Roc Auc: 0.9471
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 78.00952380952381,
+    "eval_accuracy": 0.8925,
+    "eval_f1": 0.8924186415977082,
+    "eval_loss": 0.4851433336734772,
+    "eval_precision": 0.8936909150179292,
+    "eval_recall": 0.8925,
+    "eval_roc_auc": 0.947075,
+    "eval_runtime": 255.9319,
+    "eval_samples_per_second": 3.126,
+    "eval_steps_per_second": 0.043,
     "total_flos": 0.0,
     "train_loss": 0.09421822984835931,
     "train_runtime": 45989.911,

runs/Nov03_22-29-20_2810eacd5646/events.out.tfevents.1730719227.2810eacd5646.1361.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a76064853b52bfb1e2c7f1b1d7cb9ec1b2782e37e3113fbf5a378368e3ed55c
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 78.00952380952381,
+    "eval_accuracy": 0.8925,
+    "eval_f1": 0.8924186415977082,
+    "eval_loss": 0.4851433336734772,
+    "eval_precision": 0.8936909150179292,
+    "eval_recall": 0.8925,
+    "eval_roc_auc": 0.947075,
+    "eval_runtime": 255.9319,
+    "eval_samples_per_second": 3.126,
+    "eval_steps_per_second": 0.043
+}