End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9653
-- Accuracy: 0.147
+- Loss: 0.9827
+- Accuracy: 0.595
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.4358        | 1.0   | 625  | 1.0679          | 0.174    |
-| 0.9617        | 2.0   | 1250 | 0.9653          | 0.147    |
+| 1.3983        | 1.0   | 625  | 1.0232          | 0.557    |
+| 0.933         | 2.0   | 1250 | 0.9827          | 0.595    |
 
 
 ### Framework versions

adapter_config.json

@@ -20,10 +20,10 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "q_proj",
     "k_proj",
     "o_proj",
-    "v_proj",
-    "q_proj"
+    "v_proj"
   ],
   "task_type": "SEQ_CLS",
   "use_dora": false,

adapter_model.safetensors

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training_args.bin

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 size 4984