colinrdavisMBA/mistral-7binstruct-summary-test-updated

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4741
+- Loss: 1.4781
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.6947        | 0.22  | 25   | 1.5566          |
-| 1.5356        | 0.43  | 50   | 1.4741          |
+| 1.7077        | 0.22  | 25   | 1.5528          |
+| 1.5145        | 0.43  | 50   | 1.4781          |
 
 
 ### 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

@@ -1,3 +1,3 @@
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+size 27280152

runs/Mar05_13-47-14_d99b7cfabdec/events.out.tfevents.1709646446.d99b7cfabdec.4689.0

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training_args.bin

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 size 4920