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: 0.5217
-- Accuracy: 0.8812
-- F1: 0.8811
-- Precision: 0.8827
+- Loss: 0.3789
+- Accuracy: 0.885
+- F1: 0.8847
+- Precision: 0.8893
 
 ## Model description
 

all_results.json

@@ -1,5 +1,12 @@
 {
     "epoch": 23.03157894736842,
+    "eval_accuracy": 0.885,
+    "eval_f1": 0.8846821551902431,
+    "eval_loss": 0.3788627088069916,
+    "eval_precision": 0.8892919436790617,
+    "eval_runtime": 339.2696,
+    "eval_samples_per_second": 2.358,
+    "eval_steps_per_second": 0.032,
     "total_flos": 0.0,
     "train_loss": 0.25941278507834986,
     "train_runtime": 12486.775,

runs/Oct08_15-49-53_33dee112c9fa/events.out.tfevents.1728415423.33dee112c9fa.5105.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bc86654102a11a836dba0357a906f6128fad7881cec0112ea5008941b2be189
+size 510

test_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 23.03157894736842,
+    "eval_accuracy": 0.885,
+    "eval_f1": 0.8846821551902431,
+    "eval_loss": 0.3788627088069916,
+    "eval_precision": 0.8892919436790617,
+    "eval_runtime": 339.2696,
+    "eval_samples_per_second": 2.358,
+    "eval_steps_per_second": 0.032
+}