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: 1.4680
+- Loss: 1.4693
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.6897        | 0.22  | 25   | 1.5672          |
-| 1.5795        | 0.43  | 50   | 1.4680          |
+| 1.7148        | 0.22  | 25   | 1.5555          |
+| 1.5199        | 0.43  | 50   | 1.4693          |
 
 
 ### Framework versions

adapter_config.json

@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
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-    "q_proj"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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 size 27280152

runs/Mar04_17-54-19_5dc2a349c1e6/events.out.tfevents.1709574862.5dc2a349c1e6.241.0

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training_args.bin

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