End of training

README.md

@@ -2,10 +2,16 @@
 license: mit
 library_name: peft
 tags:
+- alignment-handbook
+- trl
+- dpo
+- generated_from_trainer
 - trl
 - dpo
 - generated_from_trainer
 base_model: HuggingFaceH4/mistral-7b-sft-beta
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
 model-index:
 - name: mistral-sft-7b-dpo-qlora
   results: []
@@ -16,7 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mistral-sft-7b-dpo-qlora
 
-This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
+This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6936
+- Rewards/chosen: 0.0005
+- Rewards/rejected: 0.0001
+- Rewards/accuracies: 0.6875
+- Rewards/margins: 0.0003
+- Logps/rejected: -122.9776
+- Logps/chosen: -86.4464
+- Logits/rejected: -3.0453
+- Logits/chosen: -2.9824
 
 ## Model description
 

all_results.json

@@ -1,5 +1,18 @@
 {
     "epoch": 5.0,
+    "eval_logits/chosen": -2.9824023246765137,
+    "eval_logits/rejected": -3.0452840328216553,
+    "eval_logps/chosen": -86.44639587402344,
+    "eval_logps/rejected": -122.97762298583984,
+    "eval_loss": 0.6935876607894897,
+    "eval_rewards/accuracies": 0.6875,
+    "eval_rewards/chosen": 0.000459142291219905,
+    "eval_rewards/margins": 0.00031183898681774735,
+    "eval_rewards/rejected": 0.00014730336260981858,
+    "eval_runtime": 11.9423,
+    "eval_samples": 20,
+    "eval_samples_per_second": 1.675,
+    "eval_steps_per_second": 0.167,
     "train_loss": 0.17302747964859008,
     "train_runtime": 39.8084,
     "train_samples": 5,

eval_results.json

@@ -1,16 +1,16 @@
 {
     "epoch": 5.0,
-    "eval_logits/chosen": -2.9818739891052246,
-    "eval_logits/rejected": -3.045213222503662,
-    "eval_logps/chosen": -86.26663208007812,
-    "eval_logps/rejected": -122.861572265625,
-    "eval_loss": 0.6932176947593689,
-    "eval_rewards/accuracies": 0.5625,
-    "eval_rewards/chosen": 0.0022567124105989933,
-    "eval_rewards/margins": 0.000948949484154582,
-    "eval_rewards/rejected": 0.0013077628100290895,
-    "eval_runtime": 11.9466,
+    "eval_logits/chosen": -2.9824023246765137,
+    "eval_logits/rejected": -3.0452840328216553,
+    "eval_logps/chosen": -86.44639587402344,
+    "eval_logps/rejected": -122.97762298583984,
+    "eval_loss": 0.6935876607894897,
+    "eval_rewards/accuracies": 0.6875,
+    "eval_rewards/chosen": 0.000459142291219905,
+    "eval_rewards/margins": 0.00031183898681774735,
+    "eval_rewards/rejected": 0.00014730336260981858,
+    "eval_runtime": 11.9423,
     "eval_samples": 20,
-    "eval_samples_per_second": 1.674,
+    "eval_samples_per_second": 1.675,
     "eval_steps_per_second": 0.167
 }