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: 0.7158
-- Accuracy: 0.7679
-- F1: 0.7672
-- Precision: 0.7710
-- Recall: 0.7679
-- Roc Auc: 0.8278
+- Loss: 0.5108
+- Accuracy: 0.8036
+- F1: 0.8030
+- Precision: 0.8071
+- Recall: 0.8036
+- Roc Auc: 0.8383
 
 ## Model description
 

all_results.json

@@ -1,5 +1,14 @@
 {
     "epoch": 20.004545454545454,
+    "eval_accuracy": 0.8035714285714286,
+    "eval_f1": 0.8030060761112888,
+    "eval_loss": 0.5107570290565491,
+    "eval_precision": 0.8070967741935483,
+    "eval_recall": 0.8035714285714286,
+    "eval_roc_auc": 0.8383290816326531,
+    "eval_runtime": 85.1058,
+    "eval_samples_per_second": 1.316,
+    "eval_steps_per_second": 0.071,
     "total_flos": 0.0,
     "train_loss": 0.4175205506569098,
     "train_runtime": 3515.1677,

runs/Nov04_17-17-42_6ef8f1e22bc7/events.out.tfevents.1730744318.6ef8f1e22bc7.454.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7762ace57a5e18bbe9e43e19ae324e51a6db10cb8b3d82e512021de1e35e7460
+size 611

test_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 20.004545454545454,
+    "eval_accuracy": 0.8035714285714286,
+    "eval_f1": 0.8030060761112888,
+    "eval_loss": 0.5107570290565491,
+    "eval_precision": 0.8070967741935483,
+    "eval_recall": 0.8035714285714286,
+    "eval_roc_auc": 0.8383290816326531,
+    "eval_runtime": 85.1058,
+    "eval_samples_per_second": 1.316,
+    "eval_steps_per_second": 0.071
+}