End of training

README.md

@@ -105,7 +105,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co/TinyLlama/TinyLlama_v1.1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7862
+- Loss: 1.7770
 
 ## Model description
 
@@ -140,9 +140,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 1.8654        | 0.0001 | 1    | 1.7780          |
-| 1.3138        | 0.0003 | 3    | 1.7786          |
-| 1.6428        | 0.0006 | 6    | 1.7999          |
-| 1.3395        | 0.0009 | 9    | 1.7862          |
+| 1.3042        | 0.0003 | 3    | 1.7709          |
+| 1.6426        | 0.0006 | 6    | 1.7829          |
+| 1.3397        | 0.0009 | 9    | 1.7770          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.bin

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adapter_model.safetensors

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training_args.bin

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