End of training

README.md

@@ -1,11 +1,13 @@
 ---
 base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B
+datasets:
+- tttx/problem81_data
 library_name: peft
 license: llama3.1
 tags:
+- alignment-handbook
 - trl
 - sft
-- alignment-handbook
 - generated_from_trainer
 model-index:
 - name: problem81_model
@@ -17,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # problem81_model
 
-This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on an unknown dataset.
+This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on the tttx/problem81_data dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0387
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 1.0,
     "eval_loss": 0.03874664753675461,
-    "eval_runtime": 1.4134,
+    "eval_runtime": 1.5102,
     "eval_samples": 1,
-    "eval_samples_per_second": 0.708,
-    "eval_steps_per_second": 0.708,
+    "eval_samples_per_second": 0.662,
+    "eval_steps_per_second": 0.662,
     "total_flos": 286353899520.0,
     "train_loss": 0.0,
     "train_runtime": 1.2944,

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
     "eval_loss": 0.03874664753675461,
-    "eval_runtime": 1.4134,
+    "eval_runtime": 1.5102,
     "eval_samples": 1,
-    "eval_samples_per_second": 0.708,
-    "eval_steps_per_second": 0.708
+    "eval_samples_per_second": 0.662,
+    "eval_steps_per_second": 0.662
 }