End of training

README.md

@@ -18,10 +18,10 @@ 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: 0.4668
-- Accuracy: 0.8531
-- F1: 0.8530
-- Precision: 0.8542
+- Loss: 0.6661
+- Accuracy: 0.77
+- F1: 0.7689
+- Precision: 0.7750
 
 ## Model description
 

all_results.json

@@ -1,5 +1,12 @@
 {
     "epoch": 24.04,
+    "eval_accuracy": 0.77,
+    "eval_f1": 0.7689472659806242,
+    "eval_loss": 0.6660566926002502,
+    "eval_precision": 0.7750120954393828,
+    "eval_runtime": 284.1472,
+    "eval_samples_per_second": 2.815,
+    "eval_steps_per_second": 0.141,
     "total_flos": 0.0,
     "train_loss": 0.26292056242624917,
     "train_runtime": 13361.5549,

runs/Oct07_20-26-00_3ff85290add4/events.out.tfevents.1728346412.3ff85290add4.2759.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6bd72f71d04afb8838010ca04114eae9b6ee48283f344c84f7081e58c06e8b62
+size 510

test_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 24.04,
+    "eval_accuracy": 0.77,
+    "eval_f1": 0.7689472659806242,
+    "eval_loss": 0.6660566926002502,
+    "eval_precision": 0.7750120954393828,
+    "eval_runtime": 284.1472,
+    "eval_samples_per_second": 2.815,
+    "eval_steps_per_second": 0.141
+}