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: 0.7133
+- Loss: 0.7128
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 47.0,
-    "eval_loss": 2.0493669509887695,
-    "eval_runtime": 3.2905,
-    "eval_samples_per_second": 555.532,
-    "eval_steps_per_second": 69.594,
-    "perplexity": 7.7629852003609585,
+    "eval_loss": 0.7128096222877502,
+    "eval_runtime": 11.4031,
+    "eval_samples_per_second": 160.307,
+    "eval_steps_per_second": 5.086,
+    "perplexity": 2.039714041484612,
     "total_flos": 2.5044104326938624e+16,
     "train_loss": 0.1997737506061201,
     "train_runtime": 1307.9406,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 45.0,
-    "eval_loss": 2.0493669509887695,
-    "eval_runtime": 3.2905,
-    "eval_samples_per_second": 555.532,
-    "eval_steps_per_second": 69.594,
-    "perplexity": 7.7629852003609585
+    "epoch": 47.0,
+    "eval_loss": 0.7128096222877502,
+    "eval_runtime": 11.4031,
+    "eval_samples_per_second": 160.307,
+    "eval_steps_per_second": 5.086,
+    "perplexity": 2.039714041484612
 }