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: 0.6875
+- Loss: 0.6872
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 24.0,
-    "eval_loss": 0.7283757925033569,
-    "eval_runtime": 1.828,
-    "eval_samples_per_second": 578.237,
-    "eval_steps_per_second": 72.758,
-    "perplexity": 2.071712981796928,
+    "eval_loss": 0.6872262954711914,
+    "eval_runtime": 1.8886,
+    "eval_samples_per_second": 559.678,
+    "eval_steps_per_second": 70.423,
+    "perplexity": 1.9881932176157675,
     "total_flos": 7672437924691968.0,
     "train_loss": 0.7372308338926138,
     "train_runtime": 572.2889,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 22.0,
-    "eval_loss": 0.7283757925033569,
-    "eval_runtime": 1.828,
-    "eval_samples_per_second": 578.237,
-    "eval_steps_per_second": 72.758,
-    "perplexity": 2.071712981796928
+    "epoch": 24.0,
+    "eval_loss": 0.6872262954711914,
+    "eval_runtime": 1.8886,
+    "eval_samples_per_second": 559.678,
+    "eval_steps_per_second": 70.423,
+    "perplexity": 1.9881932176157675
 }