End of training

README.md

@@ -113,7 +113,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [unsloth/gemma-1.1-2b-it](https://huggingface.co/unsloth/gemma-1.1-2b-it) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.3890
+- Loss: 6.4829
 
 ## Model description
 
@@ -149,9 +149,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 15.4792       | 0.0007 | 1    | 12.3048         |
-| 11.3833       | 0.0022 | 3    | 12.0512         |
-| 7.3908        | 0.0044 | 6    | 9.4415          |
-| 6.6914        | 0.0066 | 9    | 6.3890          |
+| 11.3833       | 0.0022 | 3    | 12.0766         |
+| 7.5335        | 0.0044 | 6    | 9.5947          |
+| 6.7949        | 0.0066 | 9    | 6.4829          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,12 +20,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "q_proj",
-    "v_proj",
     "k_proj",
-    "gate_proj",
     "down_proj",
+    "v_proj",
+    "up_proj",
+    "gate_proj",
+    "q_proj",
     "o_proj"
   ],
   "task_type": "CAUSAL_LM",

adapter_model.bin

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adapter_model.safetensors

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training_args.bin

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