Model save

README.md

@@ -15,15 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6488
-- Rewards/chosen: 0.0341
-- Rewards/rejected: -0.0820
-- Rewards/accuracies: 0.7109
-- Rewards/margins: 0.1161
-- Logps/rejected: -224.8079
-- Logps/chosen: -271.6428
-- Logits/rejected: -3.0562
-- Logits/chosen: -3.0761
+- Loss: 0.5650
+- Rewards/chosen: 0.0816
+- Rewards/rejected: -0.2564
+- Rewards/accuracies: 0.7695
+- Rewards/margins: 0.3380
+- Logps/rejected: -175.5244
+- Logps/chosen: -271.4002
+- Logits/rejected: -3.0699
+- Logits/chosen: -3.0344
 
 ## Model description
 
@@ -59,12 +59,12 @@ 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.6488        | 1.0   | 485  | 0.6488          | 0.0341         | -0.0820          | 0.7109             | 0.1161          | -224.8079      | -271.6428    | -3.0562         | -3.0761       |
+| 0.482         | 1.0   | 485  | 0.5650          | 0.0816         | -0.2564          | 0.7695             | 0.3380          | -175.5244      | -271.4002    | -3.0699         | -3.0344       |
 
 
 ### Framework versions
 
 - Transformers 4.35.0
-- Pytorch 2.1.0+cu121
+- Pytorch 2.1.1+cu121
 - Datasets 2.14.6
 - Tokenizers 0.14.1

adapter_config.json

@@ -17,9 +17,9 @@
   "revision": null,
   "target_modules": [
     "o_proj",
+    "v_proj",
     "q_proj",
-    "k_proj",
-    "v_proj"
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

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+oid sha256:30289b286308940696068f0ad4375260c6bfb714350a71c97ef8a9e9582042fb
 size 109086672

all_results.json

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eval_results.json

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train_results.json

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trainer_state.json

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