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: 0.0082
-- Rewards/chosen: -0.7999
-- Rewards/rejected: -11.8804
+- Loss: 0.0132
+- Rewards/chosen: -1.4792
+- Rewards/rejected: -8.5855
 - Rewards/accuracies: 1.0
-- Rewards/margins: 11.0804
-- Logps/rejected: -383.9451
-- Logps/chosen: -160.8140
-- Logits/rejected: -2.4692
-- Logits/chosen: -2.6059
+- Rewards/margins: 7.1064
+- Logps/rejected: -319.5252
+- Logps/chosen: -138.4254
+- Logits/rejected: -2.3872
+- Logits/chosen: -2.5369
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.5652        | 0.0   | 10   | 0.4581          | 0.1358         | -0.6615          | 1.0                | 0.7973          | -271.7569      | -151.4569    | -2.4902         | -2.7008       |
-| 0.3737        | 0.0   | 20   | 0.1877          | 0.0778         | -2.8831          | 1.0                | 2.9609          | -293.9724      | -152.0366    | -2.4897         | -2.6893       |
-| 0.2022        | 0.0   | 30   | 0.0621          | -0.1154        | -6.0503          | 1.0                | 5.9349          | -325.6448      | -153.9687    | -2.4890         | -2.6603       |
-| 0.0284        | 0.0   | 40   | 0.0155          | -0.5833        | -10.1231         | 1.0                | 9.5397          | -366.3722      | -158.6483    | -2.4792         | -2.6266       |
-| 0.0593        | 0.0   | 50   | 0.0082          | -0.7999        | -11.8804         | 1.0                | 11.0804         | -383.9451      | -160.8140    | -2.4692         | -2.6059       |
+| 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       |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 13648432

runs/Mar18_11-00-46_0d00f13c1b40/events.out.tfevents.1710759826.0d00f13c1b40.247.0

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+size 13334

training_args.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:25b852a42ed5f46c5c36a13523b618fee1a1f050d50b0eba580c2957cfc51a1e
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 size 4475