End of training

README.md

@@ -1,10 +1,13 @@
 ---
 library_name: peft
 tags:
+- alignment-handbook
 - trl
 - dpo
 - generated_from_trainer
 base_model: NbAiLab/nb-gpt-j-6B-v2
+datasets:
+- hugodk-sch/aftonposten_title_prefs
 model-index:
 - name: aftonposten-6b-align-scan
   results: []
@@ -15,17 +18,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # aftonposten-6b-align-scan
 
-This model is a fine-tuned version of [NbAiLab/nb-gpt-j-6B-v2](https://huggingface.co/NbAiLab/nb-gpt-j-6B-v2) on an unknown dataset.
+This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0014
-- Rewards/chosen: 0.0061
-- Rewards/rejected: 0.0075
-- Rewards/accuracies: 0.5104
-- Rewards/margins: -0.0014
-- Logps/rejected: -37.5016
-- Logps/chosen: -34.0223
-- Logits/rejected: -2.2389
-- Logits/chosen: -2.2438
+- Loss: 0.9988
+- Rewards/chosen: 0.0026
+- Rewards/rejected: 0.0013
+- Rewards/accuracies: 0.4925
+- Rewards/margins: 0.0013
+- Logps/rejected: -37.5141
+- Logps/chosen: -34.0293
+- Logits/rejected: -2.2384
+- Logits/chosen: -2.2433
 
 ## Model description
 

all_results.json

@@ -1,5 +1,18 @@
 {
     "epoch": 1.0,
+    "eval_logits/chosen": -2.243324041366577,
+    "eval_logits/rejected": -2.2384440898895264,
+    "eval_logps/chosen": -34.02931213378906,
+    "eval_logps/rejected": -37.51406478881836,
+    "eval_loss": 0.9987560510635376,
+    "eval_rewards/accuracies": 0.4925249218940735,
+    "eval_rewards/chosen": 0.0026186639443039894,
+    "eval_rewards/margins": 0.0013388387160375714,
+    "eval_rewards/rejected": 0.0012798249954357743,
+    "eval_runtime": 145.7879,
+    "eval_samples": 343,
+    "eval_samples_per_second": 2.353,
+    "eval_steps_per_second": 0.295,
     "train_loss": 0.9930156608680626,
     "train_runtime": 3255.7181,
     "train_samples": 3079,

eval_results.json

@@ -1,16 +1,16 @@
 {
     "epoch": 1.0,
-    "eval_logits/chosen": -2.2434139251708984,
-    "eval_logits/rejected": -2.2385354042053223,
-    "eval_logps/chosen": -34.0224494934082,
-    "eval_logps/rejected": -37.51002883911133,
-    "eval_loss": 0.9980219602584839,
-    "eval_rewards/accuracies": 0.5141196250915527,
-    "eval_rewards/chosen": 0.0048410315066576,
-    "eval_rewards/margins": 0.002204673830419779,
-    "eval_rewards/rejected": 0.0026363590732216835,
-    "eval_runtime": 145.7351,
+    "eval_logits/chosen": -2.243324041366577,
+    "eval_logits/rejected": -2.2384440898895264,
+    "eval_logps/chosen": -34.02931213378906,
+    "eval_logps/rejected": -37.51406478881836,
+    "eval_loss": 0.9987560510635376,
+    "eval_rewards/accuracies": 0.4925249218940735,
+    "eval_rewards/chosen": 0.0026186639443039894,
+    "eval_rewards/margins": 0.0013388387160375714,
+    "eval_rewards/rejected": 0.0012798249954357743,
+    "eval_runtime": 145.7879,
     "eval_samples": 343,
-    "eval_samples_per_second": 2.354,
+    "eval_samples_per_second": 2.353,
     "eval_steps_per_second": 0.295
 }