19Leo97/openhermes-mistral-dpo-gptq

README.md

@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4715
-- Rewards/chosen: -1.6019
-- Rewards/rejected: -1.3634
-- Rewards/accuracies: 0.6875
-- Rewards/margins: -0.2386
-- Logps/rejected: -342.2072
-- Logps/chosen: -321.4847
-- Logits/rejected: -2.4409
-- Logits/chosen: -2.4704
+- Loss: 0.6864
+- Rewards/chosen: -0.0176
+- Rewards/rejected: -0.0077
+- Rewards/accuracies: 0.3125
+- Rewards/margins: -0.0098
+- Logps/rejected: -168.4619
+- Logps/chosen: -127.7056
+- Logits/rejected: -2.4072
+- Logits/chosen: -2.3077
 
 ## Model description
 
@@ -59,11 +59,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.6793        | 0.005 | 10   | 0.6783          | 0.1178         | 0.0391           | 0.5                | 0.0787          | -328.1823      | -304.2877    | -2.4405         | -2.4604       |
-| 0.7008        | 0.01  | 20   | 0.6618          | 0.1939         | -0.0229          | 0.625              | 0.2168          | -328.8029      | -303.5266    | -2.4441         | -2.4621       |
-| 0.706         | 0.015 | 30   | 0.7197          | 0.2223         | 0.0219           | 0.75               | 0.2004          | -328.3552      | -303.2429    | -2.4519         | -2.4654       |
-| 0.6897        | 0.02  | 40   | 0.8159          | -0.1834        | -0.3501          | 0.75               | 0.1667          | -332.0744      | -307.2993    | -2.4459         | -2.4677       |
-| 0.6443        | 0.025 | 50   | 1.4715          | -1.6019        | -1.3634          | 0.6875             | -0.2386         | -342.2072      | -321.4847    | -2.4409         | -2.4704       |
+| 0.6768        | 0.005 | 10   | 0.6965          | 0.0206         | -0.0070          | 0.5625             | 0.0276          | -168.4548      | -127.3242    | -2.4001         | -2.3165       |
+| 0.7062        | 0.01  | 20   | 0.7131          | 0.0043         | 0.0421           | 0.25               | -0.0378         | -167.9636      | -127.4874    | -2.4078         | -2.3156       |
+| 0.7526        | 0.015 | 30   | 0.7101          | -0.0048        | 0.0478           | 0.125              | -0.0526         | -167.9063      | -127.5779    | -2.4088         | -2.3121       |
+| 0.6946        | 0.02  | 40   | 0.7003          | -0.0144        | 0.0180           | 0.1875             | -0.0324         | -168.2044      | -127.6736    | -2.4087         | -2.3099       |
+| 0.6728        | 0.025 | 50   | 0.6864          | -0.0176        | -0.0077          | 0.3125             | -0.0098         | -168.4619      | -127.7056    | -2.4072         | -2.3077       |
 
 
 ### Framework versions

adapter_config.json

@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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runs/May30_20-03-40_bdd30f5aa120/events.out.tfevents.1717099527.bdd30f5aa120.706.0

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training_args.bin

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