End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: false
 
 This model is a fine-tuned version of [HuggingFaceM4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceM4/tiny-random-LlamaForCausalLM) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 10.3765
+- Loss: 10.3766
 
 ## Model description
 
@@ -137,9 +137,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 10.3767       | 0.0006 | 1    | 10.3780         |
-| 10.3793       | 0.0108 | 19   | 10.3775         |
+| 10.3794       | 0.0108 | 19   | 10.3775         |
 | 10.3798       | 0.0216 | 38   | 10.3769         |
-| 10.3795       | 0.0324 | 57   | 10.3765         |
+| 10.3798       | 0.0324 | 57   | 10.3766         |
 
 
 ### Framework versions

adapter_config.json

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