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: 0.6719
+- Loss: 0.6716
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 31.0,
-    "eval_loss": 0.6956692934036255,
-    "eval_runtime": 59.8322,
-    "eval_samples_per_second": 163.257,
-    "eval_steps_per_second": 5.114,
-    "perplexity": 2.005050592091695,
+    "eval_loss": 0.6716023087501526,
+    "eval_runtime": 232.3059,
+    "eval_samples_per_second": 160.323,
+    "eval_steps_per_second": 5.011,
+    "perplexity": 1.9573711221830141,
     "total_flos": 3.528546650263388e+17,
     "train_loss": 0.17647521918996942,
     "train_runtime": 17128.7716,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 50.0,
-    "eval_loss": 0.6956692934036255,
-    "eval_runtime": 59.8322,
-    "eval_samples_per_second": 163.257,
-    "eval_steps_per_second": 5.114,
-    "perplexity": 2.005050592091695
+    "epoch": 31.0,
+    "eval_loss": 0.6716023087501526,
+    "eval_runtime": 232.3059,
+    "eval_samples_per_second": 160.323,
+    "eval_steps_per_second": 5.011,
+    "perplexity": 1.9573711221830141
 }