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: 0.6324
+- Loss: 1.0294
 - Eval/rewards/chosen: 0.0
 - Eval/logps/chosen: -203.5358
 - Eval/rewards/rejected: 0.0
@@ -58,7 +58,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |     |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 0.5625        | 0.96  | 12   | 0.6324          | 0.0 |
+| 0.75          | 0.96  | 12   | 1.0294          | 0.0 |
 
 
 ### Framework versions

adapter_config.json

@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
     "o_proj",
+    "v_proj",
     "q_proj",
     "k_proj"
   ],

metrics.jsonl

@@ -7,3 +7,4 @@
 {"epoch": 0.96, "precision": 0.41463414533016063, "recall": 0.9444444391975308, "fold": 0}
 {"epoch": 0.96, "precision": 0.41463414533016063, "recall": 0.9444444391975308, "fold": 0}
 {"epoch": 0.96, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}
+{"epoch": 0.96, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}

metrics_epoch_0.96_fold_0_lr_0.0_seed_5678_weight_5.0.json

@@ -0,0 +1 @@
+{"epoch": 0.96, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:e4f50a080d4769e1a32b76a700456e6b6165c36d10cf9f60223d64022442eb1c
+oid sha256:79739a4d2cd849bc8ac517d0115282dd4597002275a09d33a9c275138f236458
 size 5688