ai-maker-space/mistral-7binstruct-summary-100s

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: 1.4726
+- Loss: 1.4668
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 1.7281        | 0.2174 | 25   | 1.5559          |
-| 1.5272        | 0.4348 | 50   | 1.4726          |
+| 1.7017        | 0.2174 | 25   | 1.5425          |
+| 1.5439        | 0.4348 | 50   | 1.4668          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,8 +20,8 @@
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   "revision": null,
   "target_modules": [
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-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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runs/Apr20_17-08-36_3e5c012d460b/events.out.tfevents.1713632941.3e5c012d460b.574.0

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training_args.bin

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