End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1600
+- Loss: 1.9850
 - Eval/rewards/chosen: 0.0
 - Eval/logps/chosen: -207.5800
 - Eval/rewards/rejected: 0.0
@@ -58,7 +58,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |     |
 |:-------------:|:------:|:----:|:---------------:|:---:|
-| 0.75          | 0.9412 | 12   | 1.1600          | 0.0 |
+| 1.0625        | 0.9412 | 12   | 1.9850          | 0.0 |
 
 
 ### Framework versions

adapter_config.json

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

metrics.jsonl

@@ -11,3 +11,4 @@
 {"epoch": 0.96, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}
 {"epoch": 0.9411764705882353, "precision": 0.43636363557024793, "recall": 0.9999999958333333, "fold": 0}
 {"epoch": 0.9411764705882353, "precision": 0.43636363557024793, "recall": 0.9999999958333333, "fold": 0}
+{"epoch": 0.9411764705882353, "precision": 0.43636363557024793, "recall": 0.9999999958333333, "fold": 0}

metrics_epoch_0.9411764705882353_fold_0_lr_0.0_seed_9012_weight_10.0.json

@@ -0,0 +1 @@
+{"epoch": 0.9411764705882353, "precision": 0.43636363557024793, "recall": 0.9999999958333333, "fold": 0}

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:94dfa7511c5d5b1016fb13dba3115622c8dd312506517490e815e89520d43d43
+oid sha256:6c2c3076ac39698cae5f7038c1a34849fa20c74d7e64b8defa31cfac8655d56c
 size 5688