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: 0.4477
+- Loss: 0.4475
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 29.0,
-    "eval_loss": 0.48132315278053284,
-    "eval_runtime": 378.7177,
-    "eval_samples_per_second": 150.323,
-    "eval_steps_per_second": 6.266,
-    "perplexity": 1.6182141308134652,
+    "eval_loss": 0.4475274682044983,
+    "eval_runtime": 362.3481,
+    "eval_samples_per_second": 157.114,
+    "eval_steps_per_second": 4.912,
+    "perplexity": 1.5644392736681412,
     "total_flos": 5.058807603414958e+17,
     "train_loss": 0.11824046083851339,
     "train_runtime": 25872.5126,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 3.0,
-    "eval_loss": 0.48132315278053284,
-    "eval_runtime": 378.7177,
-    "eval_samples_per_second": 150.323,
-    "eval_steps_per_second": 6.266,
-    "perplexity": 1.6182141308134652
+    "epoch": 29.0,
+    "eval_loss": 0.4475274682044983,
+    "eval_runtime": 362.3481,
+    "eval_samples_per_second": 157.114,
+    "eval_steps_per_second": 4.912,
+    "perplexity": 1.5644392736681412
 }