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: 0.4618
-- Rewards/chosen: -0.7871
-- Rewards/rejected: -6.6095
-- Rewards/accuracies: 0.9375
-- Rewards/margins: 5.8223
-- Logps/rejected: -220.7533
-- Logps/chosen: -104.2417
-- Logits/rejected: -1.9929
-- Logits/chosen: -2.4654
+- Loss: 0.0082
+- Rewards/chosen: -0.7999
+- Rewards/rejected: -11.8804
+- Rewards/accuracies: 1.0
+- Rewards/margins: 11.0804
+- Logps/rejected: -383.9451
+- Logps/chosen: -160.8140
+- Logits/rejected: -2.4692
+- Logits/chosen: -2.6059
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.5633        | 0.0   | 10   | 0.5184          | 0.0815         | -0.3179          | 1.0                | 0.3995          | -157.8381      | -95.5550     | -2.1002         | -2.5591       |
-| 0.3936        | 0.0   | 20   | 0.2875          | 0.2689         | -1.1716          | 1.0                | 1.4404          | -166.3746      | -93.6817     | -2.0675         | -2.5604       |
-| 0.2132        | 0.0   | 30   | 0.2000          | 0.0966         | -2.8012          | 0.9375             | 2.8977          | -182.6702      | -95.4047     | -2.0286         | -2.5520       |
-| 0.034         | 0.0   | 40   | 0.4078          | -0.5324        | -5.2327          | 0.9375             | 4.7003          | -206.9856      | -101.6947    | -2.0143         | -2.4945       |
-| 0.0665        | 0.0   | 50   | 0.4618          | -0.7871        | -6.6095          | 0.9375             | 5.8223          | -220.7533      | -104.2417    | -1.9929         | -2.4654       |
+| 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       |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ed8c23e952bf13275720438d5d8d1c6a13442e0255a60ba3d8d314d209927e0
+oid sha256:8aad9c8eb98d77811ee0c01df9374f8797047a2d66645d3baab7eb30b46d3872
 size 13648432

runs/Mar16_19-17-11_c62d8995c6bc/events.out.tfevents.1710616785.c62d8995c6bc.131.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1aed634a3ef42e50189c49d561ea74287fa4537d6793ab7ba01f72556be12bc
+size 13334

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b990e32d43a9f3ad091100b93ca5b758b676985de0fb98bd08c011f72e533bc
+oid sha256:25b852a42ed5f46c5c36a13523b618fee1a1f050d50b0eba580c2957cfc51a1e
 size 4475