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: 0.3505
+- Loss: 0.3506
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 2.9994509717799493,
-    "eval_loss": 0.36619314551353455,
-    "eval_runtime": 51.2719,
-    "eval_samples_per_second": 326.865,
-    "eval_steps_per_second": 20.44,
-    "perplexity": 1.442233776738291,
+    "eval_loss": 0.3506236970424652,
+    "eval_runtime": 90.7426,
+    "eval_samples_per_second": 688.189,
+    "eval_steps_per_second": 43.012,
+    "perplexity": 1.4199528928909835,
     "total_flos": 5.663614489893274e+16,
     "train_loss": 0.4309546582144973,
     "train_runtime": 80815.4027,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 3.0,
-    "eval_loss": 0.36619314551353455,
-    "eval_runtime": 51.2719,
-    "eval_samples_per_second": 326.865,
-    "eval_steps_per_second": 20.44,
-    "perplexity": 1.442233776738291
+    "epoch": 2.9994509717799493,
+    "eval_loss": 0.3506236970424652,
+    "eval_runtime": 90.7426,
+    "eval_samples_per_second": 688.189,
+    "eval_steps_per_second": 43.012,
+    "perplexity": 1.4199528928909835
 }