End of training

README.md

@@ -1,10 +1,11 @@
 ---
 base_model: meta-llama/Meta-Llama-3-8B
 datasets:
-- generator
+- llama-duo/synth_coding_dataset_dedup
 library_name: peft
 license: llama3
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
@@ -18,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama3.1-8b-gpt4o_100k_coding-k
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the llama-duo/synth_coding_dataset_dedup dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2764
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 1.0,
+    "eval_loss": 1.2763605117797852,
+    "eval_runtime": 1.1482,
+    "eval_samples": 16,
+    "eval_samples_per_second": 3.484,
+    "eval_steps_per_second": 0.871,
     "total_flos": 7.971483567941222e+17,
     "train_loss": 0.6257878903989439,
     "train_runtime": 2906.8071,

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "eval_loss": 1.2819597721099854,
-    "eval_runtime": 1.1524,
+    "eval_loss": 1.2763605117797852,
+    "eval_runtime": 1.1482,
     "eval_samples": 16,
-    "eval_samples_per_second": 3.471,
-    "eval_steps_per_second": 0.868
+    "eval_samples_per_second": 3.484,
+    "eval_steps_per_second": 0.871
 }

runs/Sep29_05-24-54_82b7fdadb1f8/events.out.tfevents.1727590707.82b7fdadb1f8.382912.1

@@ -0,0 +1,3 @@
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+oid sha256:ea144463212f2ce8540b69a086dacd3f0e885e829bad555d7d5fb453b8cce39a
+size 359