End of training

README.md

@@ -2,11 +2,13 @@
 license: other
 library_name: peft
 tags:
+- alignment-handbook
 - trl
 - sft
-- alignment-handbook
 - generated_from_trainer
 base_model: Undi95/Meta-Llama-3-8B-hf
+datasets:
+- HuggingFaceH4/ultrachat_200k
 model-index:
 - name: llama3-poison-5p-2048
   results: []
@@ -17,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama3-poison-5p-2048
 
-This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-hf) on the None dataset.
+This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-hf) on the HuggingFaceH4/ultrachat_200k dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
 

all_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 1.0,
     "eval_loss": NaN,
-    "eval_runtime": 207.2276,
+    "eval_runtime": 207.0955,
     "eval_samples": 2310,
-    "eval_samples_per_second": 11.147,
+    "eval_samples_per_second": 11.154,
     "eval_steps_per_second": 0.7,
     "train_loss": 0.0,
     "train_runtime": 618.3723,

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
     "eval_loss": NaN,
-    "eval_runtime": 207.2276,
+    "eval_runtime": 207.0955,
     "eval_samples": 2310,
-    "eval_samples_per_second": 11.147,
+    "eval_samples_per_second": 11.154,
     "eval_steps_per_second": 0.7
 }

runs/Apr30_17-28-40_COE-CS-sv003/events.out.tfevents.1714498986.COE-CS-sv003.570159.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d575c25b848ac5f2e851fc32be095f30606d3b29aa14414b3695fcc913c9ea06
+size 359