End of training

README.md

@@ -18,11 +18,11 @@ 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: 1.6912
+- Loss: 0.6650
 - Eval/rewards/chosen: 0.0
-- Eval/logps/chosen: -203.5358
+- Eval/logps/chosen: -207.5800
 - Eval/rewards/rejected: 0.0
-- Eval/logps/rejected: -215.2117
+- Eval/logps/rejected: -221.5768
 - Eval/rewards/margins: 0.0
 - Eval/kl: 0.0
 
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 - learning_rate: 0.0
 - train_batch_size: 1
 - eval_batch_size: 2
-- seed: 5678
+- seed: 9012
 - gradient_accumulation_steps: 8
 - total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |     |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| 1.0625        | 0.96  | 12   | 1.6912          | 0.0 |
+| Training Loss | Epoch  | Step | Validation Loss |     |
+|:-------------:|:------:|:----:|:---------------:|:---:|
+| 0.5625        | 0.9412 | 12   | 0.6650          | 0.0 |
 
 
 ### Framework versions

adapter_config.json

@@ -21,9 +21,9 @@
   "revision": null,
   "target_modules": [
     "v_proj",
-    "k_proj",
+    "q_proj",
     "o_proj",
-    "q_proj"
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 27297544

metrics.jsonl

@@ -24,3 +24,5 @@
 {"epoch": 0.96, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}
 {"epoch": -1, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}
 {"epoch": 0.96, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}
+{"epoch": -1, "precision": 0.43636363557024793, "recall": 0.9999999958333333, "fold": 0}
+{"epoch": 0.9411764705882353, "precision": 0.43636363557024793, "recall": 0.9999999958333333, "fold": 0}

metrics_epoch_-1_fold_0_lr_0_seed_9012_weight_0.json

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

training_args.bin

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 size 5688