SleepyGorilla/Mistral_7B

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: 0.0132
-- Rewards/chosen: -1.4792
-- Rewards/rejected: -8.5855
+- Loss: 0.0323
+- Rewards/chosen: -1.0831
+- Rewards/rejected: -9.5400
 - Rewards/accuracies: 1.0
-- Rewards/margins: 7.1064
-- Logps/rejected: -319.5252
-- Logps/chosen: -138.4254
-- Logits/rejected: -2.3872
-- Logits/chosen: -2.5369
+- Rewards/margins: 8.4569
+- Logps/rejected: -319.0484
+- Logps/chosen: -82.1537
+- Logits/rejected: -2.6023
+- Logits/chosen: -2.2419
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.5575        | 0.0   | 10   | 0.4017          | 0.0150         | -0.6143          | 1.0                | 0.6293          | -239.8125      | -123.4837    | -2.4102         | -2.6084       |
-| 0.3781        | 0.0   | 20   | 0.1298          | -0.2390        | -2.2414          | 1.0                | 2.0025          | -256.0842      | -126.0231    | -2.3786         | -2.6120       |
-| 0.219         | 0.0   | 30   | 0.0410          | -0.5640        | -4.3638          | 1.0                | 3.7998          | -277.3080      | -129.2739    | -2.3879         | -2.5872       |
-| 0.038         | 0.0   | 40   | 0.0168          | -1.2083        | -7.3369          | 1.0                | 6.1286          | -307.0389      | -135.7168    | -2.3962         | -2.5566       |
-| 0.0669        | 0.0   | 50   | 0.0132          | -1.4792        | -8.5855          | 1.0                | 7.1064          | -319.5252      | -138.4254    | -2.3872         | -2.5369       |
+| 0.556         | 0.0   | 10   | 0.4270          | 0.0181         | -0.6933          | 1.0                | 0.7114          | -230.5818      | -71.1419     | -2.6557         | -2.3264       |
+| 0.3645        | 0.0   | 20   | 0.1583          | 0.1759         | -2.5866          | 1.0                | 2.7625          | -249.5149      | -69.5636     | -2.6400         | -2.3441       |
+| 0.2037        | 0.0   | 30   | 0.0681          | 0.0985         | -5.0474          | 1.0                | 5.1459          | -274.1230      | -70.3379     | -2.6245         | -2.3228       |
+| 0.0315        | 0.0   | 40   | 0.0431          | -0.9146        | -8.5841          | 1.0                | 7.6695          | -309.4896      | -80.4684     | -2.6094         | -2.3791       |
+| 0.0655        | 0.0   | 50   | 0.0323          | -1.0831        | -9.5400          | 1.0                | 8.4569          | -319.0484      | -82.1537     | -2.6023         | -2.2419       |
 
 
 ### Framework versions

adapter_config.json

@@ -19,8 +19,8 @@
   "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/Mar18_11-18-31_7b8536c7ca90/events.out.tfevents.1710760802.7b8536c7ca90.253.0

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training_args.bin

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