End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0562
+- Loss: 1.0580
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.1396        | 1.0   | 694  | 1.0210          |
-| 0.9352        | 2.0   | 1388 | 1.0150          |
-| 0.8284        | 3.0   | 2082 | 1.0326          |
-| 0.5935        | 4.0   | 2776 | 1.0562          |
+| 1.2103        | 1.0   | 694  | 1.0155          |
+| 1.0049        | 2.0   | 1388 | 1.0118          |
+| 0.7344        | 3.0   | 2082 | 1.0341          |
+| 0.603         | 4.0   | 2776 | 1.0580          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

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runs/Mar23_19-55-58_93dcf434cf49/events.out.tfevents.1711223768.93dcf434cf49.3341.0

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training_args.bin

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