End of training

README.md

@@ -2,12 +2,13 @@
 license: gemma
 library_name: peft
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
 base_model: google/gemma-7b
 datasets:
-- generator
+- llama-duo/synth_summarize_dataset
 model-index:
 - name: gemma7b-summarize-gpt4o-30k
   results: []
@@ -19,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/chansung18/huggingface/runs/ddvw2m8z)
 # gemma7b-summarize-gpt4o-30k
 
-This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.3811
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 5.0,
+    "eval_loss": 2.3811252117156982,
+    "eval_runtime": 1.024,
+    "eval_samples": 25,
+    "eval_samples_per_second": 4.883,
+    "eval_steps_per_second": 1.953,
     "total_flos": 1.0472781231601746e+18,
     "train_loss": 2.151051264783762,
     "train_runtime": 5341.9856,

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 1.0,
-    "eval_loss": 2.341205358505249,
-    "eval_runtime": 1.0267,
+    "epoch": 5.0,
+    "eval_loss": 2.3811252117156982,
+    "eval_runtime": 1.024,
     "eval_samples": 25,
-    "eval_samples_per_second": 4.87,
-    "eval_steps_per_second": 1.948
+    "eval_samples_per_second": 4.883,
+    "eval_steps_per_second": 1.953
 }

runs/May19_11-54-28_deep-diver-main-lucky-mouse-1-0-0/events.out.tfevents.1716139567.deep-diver-main-lucky-mouse-1-0-0.385.1

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+oid sha256:dc62883a9b1eb717f16aada8e5bd0aca34b2994a7a0c24db68df12c778f2ea88
+size 359