ai-maker-space/llama38binstruct-summary-100s-v2

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9510
+- Loss: 1.7928
 
 ## Model description
 
@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.4971        | 1.25  | 25   | 1.5682          |
-| 0.555         | 2.5   | 50   | 1.7010          |
-| 0.2288        | 3.75  | 75   | 1.8531          |
-| 0.1118        | 5.0   | 100  | 1.9510          |
+| 1.4799        | 1.25  | 25   | 1.4020          |
+| 0.5231        | 2.5   | 50   | 1.5481          |
+| 0.3147        | 3.75  | 75   | 1.6357          |
+| 0.1531        | 5.0   | 100  | 1.7928          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "o_proj",
+    "down_proj",
     "gate_proj",
-    "k_proj",
+    "o_proj",
     "up_proj",
-    "down_proj",
-    "v_proj"
+    "k_proj",
+    "v_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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 size 167832240

runs/Jun16_13-09-42_67c659df639e/events.out.tfevents.1718543384.67c659df639e.2351.0

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training_args.bin

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