End of training

README.md

@@ -17,8 +17,8 @@ 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: 3.5398
-- Accuracy: 0.3757
+- Loss: 3.5557
+- Accuracy: 0.3699
 
 ## Model description
 

all_results.json

@@ -2,15 +2,15 @@
     "epoch": 33.76065440149045,
     "eval_accuracy": 0.36993376513648857,
     "eval_loss": 3.555708646774292,
-    "eval_runtime": 179.6573,
+    "eval_runtime": 178.7494,
     "eval_samples": 16651,
-    "eval_samples_per_second": 92.682,
-    "eval_steps_per_second": 5.794,
+    "eval_samples_per_second": 93.153,
+    "eval_steps_per_second": 5.824,
     "perplexity": 35.012622760624836,
     "total_flos": 2.424181507817472e+18,
-    "train_loss": 0.976803156227901,
-    "train_runtime": 71873.7484,
+    "train_loss": 0.97679699680723,
+    "train_runtime": 71541.8287,
     "train_samples": 274807,
-    "train_samples_per_second": 191.173,
-    "train_steps_per_second": 2.39
+    "train_samples_per_second": 192.06,
+    "train_steps_per_second": 2.401
 }

eval_results.json

@@ -2,9 +2,9 @@
     "epoch": 33.76065440149045,
     "eval_accuracy": 0.36993376513648857,
     "eval_loss": 3.555708646774292,
-    "eval_runtime": 179.6573,
+    "eval_runtime": 178.7494,
     "eval_samples": 16651,
-    "eval_samples_per_second": 92.682,
-    "eval_steps_per_second": 5.794,
+    "eval_samples_per_second": 93.153,
+    "eval_steps_per_second": 5.824,
     "perplexity": 35.012622760624836
 }

train_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 33.76065440149045,
     "total_flos": 2.424181507817472e+18,
-    "train_loss": 0.976803156227901,
-    "train_runtime": 71873.7484,
+    "train_loss": 0.97679699680723,
+    "train_runtime": 71541.8287,
     "train_samples": 274807,
-    "train_samples_per_second": 191.173,
-    "train_steps_per_second": 2.39
+    "train_samples_per_second": 192.06,
+    "train_steps_per_second": 2.401
 }