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: 0.7290
+- Loss: 0.7284
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 22.0,
-    "eval_loss": 0.6716023087501526,
-    "eval_runtime": 232.3059,
-    "eval_samples_per_second": 160.323,
-    "eval_steps_per_second": 5.011,
-    "perplexity": 1.9573711221830141,
+    "eval_loss": 0.7283757925033569,
+    "eval_runtime": 1.828,
+    "eval_samples_per_second": 578.237,
+    "eval_steps_per_second": 72.758,
+    "perplexity": 2.071712981796928,
     "total_flos": 7033068097634304.0,
     "train_loss": 0.8158138496865104,
     "train_runtime": 912.3512,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "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
+    "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
 }