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: 0.5794
-- Rewards/chosen: 0.3240
-- Rewards/rejected: -0.1304
-- Rewards/accuracies: 0.8125
-- Rewards/margins: 0.4544
-- Logps/rejected: -257.9009
-- Logps/chosen: -299.4479
-- Logits/rejected: -2.5816
-- Logits/chosen: -2.4558
+- 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
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.6803        | 0.005 | 10   | 0.6477          | 0.1422         | -0.0051          | 0.9375             | 0.1472          | -256.6473      | -301.2661    | -2.5813         | -2.4540       |
-| 0.7051        | 0.01  | 20   | 0.6019          | 0.1764         | -0.1259          | 0.9375             | 0.3023          | -257.8556      | -300.9241    | -2.5817         | -2.4542       |
-| 0.7343        | 0.015 | 30   | 0.5848          | 0.1973         | -0.1493          | 0.875              | 0.3465          | -258.0895      | -300.7151    | -2.5833         | -2.4551       |
-| 0.6977        | 0.02  | 40   | 0.5773          | 0.2710         | -0.1295          | 0.8125             | 0.4005          | -257.8920      | -299.9776    | -2.5815         | -2.4542       |
-| 0.6483        | 0.025 | 50   | 0.5794          | 0.3240         | -0.1304          | 0.8125             | 0.4544          | -257.9009      | -299.4479    | -2.5816         | -2.4558       |
+| 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       |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/May30_19-27-42_46a922342ba4/events.out.tfevents.1717097354.46a922342ba4.246.0

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training_args.bin

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 size 4667