End of fine-tuning training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5208
+- Loss: 0.5204
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 38.0,
-    "eval_loss": 0.7415885329246521,
-    "eval_runtime": 9.8328,
-    "eval_samples_per_second": 161.399,
-    "eval_steps_per_second": 5.085,
-    "perplexity": 2.0992676229483833,
+    "eval_loss": 0.5203976631164551,
+    "eval_runtime": 9.8245,
+    "eval_samples_per_second": 161.535,
+    "eval_steps_per_second": 5.089,
+    "perplexity": 1.6826966630681837,
     "total_flos": 1.886593281372979e+16,
     "train_loss": 0.15147609674822032,
     "train_runtime": 971.6736,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 3.0,
-    "eval_loss": 0.7415885329246521,
-    "eval_runtime": 9.8328,
-    "eval_samples_per_second": 161.399,
-    "eval_steps_per_second": 5.085,
-    "perplexity": 2.0992676229483833
+    "epoch": 38.0,
+    "eval_loss": 0.5203976631164551,
+    "eval_runtime": 9.8245,
+    "eval_samples_per_second": 161.535,
+    "eval_steps_per_second": 5.089,
+    "perplexity": 1.6826966630681837
 }