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README.md

@@ -21,7 +21,7 @@ base_model: NousResearch/Llama-2-7b-hf
 bf16: false
 dataset_prepared_path: null
 datasets:
-- path: caffeinatedcherrychic/test-dataset-io
+- path: caffeinatedcherrychic/cidds-agg-alpaca-iio
   type: alpaca
 debug: null
 deepspeed: null
@@ -83,7 +83,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7530
+- Loss: 0.6372
 
 ## Model description
 
@@ -116,7 +116,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.8802        | 0.0   | 20   | 0.7530          |
+| 0.7917        | 0.0   | 20   | 0.6372          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.bin

@@ -1,3 +1,3 @@
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