End of training

README.md

@@ -18,13 +18,13 @@ 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: 0.7265
-- Eval/rewards/chosen: 3.6123
-- Eval/logps/chosen: -167.4125
-- Eval/rewards/rejected: 3.7149
-- Eval/logps/rejected: -178.0628
-- Eval/rewards/margins: -0.1026
-- Eval/kl: 33.2160
+- Loss: 0.6833
+- Eval/rewards/chosen: 0.1418
+- Eval/logps/chosen: -202.1179
+- Eval/rewards/rejected: 0.1134
+- Eval/logps/rejected: -214.0775
+- Eval/rewards/margins: 0.0284
+- Eval/kl: 1.2457
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 1e-05
 - train_batch_size: 1
 - eval_batch_size: 2
 - seed: 5678
@@ -56,12 +56,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |         |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.5619        | 0.96  | 12   | 0.6911          | 17.2746 |
-| 0.5748        | 2.0   | 25   | 0.7189          | 25.3931 |
-| 0.3537        | 2.96  | 37   | 0.7288          | 32.8920 |
-| 0.0845        | 3.84  | 48   | 0.7265          | 33.2160 |
+| Training Loss | Epoch | Step | Validation Loss |        |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.5892        | 0.96  | 12   | 0.6859          | 0.2642 |
+| 0.6692        | 2.0   | 25   | 0.6839          | 0.8353 |
+| 0.5716        | 2.96  | 37   | 0.6828          | 1.1690 |
+| 0.6558        | 3.84  | 48   | 0.6833          | 1.2457 |
 
 
 ### Framework versions

adapter_config.json

@@ -20,9 +20,9 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "v_proj",
     "o_proj",
     "q_proj",
-    "v_proj",
     "k_proj"
   ],
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
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metrics.jsonl

@@ -10,3 +10,7 @@
 {"epoch": 2.0, "precision": 0.7368421013850416, "recall": 0.7777777734567901, "fold": 0}
 {"epoch": 2.96, "precision": 0.7083333303819445, "recall": 0.9444444391975308, "fold": 0}
 {"epoch": 3.84, "precision": 0.6799999972799999, "recall": 0.9444444391975308, "fold": 0}
+{"epoch": 0.96, "precision": 0.37499999921875, "recall": 0.9999999944444444, "fold": 0}
+{"epoch": 2.0, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}
+{"epoch": 2.96, "precision": 0.3333333326797386, "recall": 0.9444444391975308, "fold": 0}
+{"epoch": 3.84, "precision": 0.33333333271604937, "recall": 0.9999999944444444, "fold": 0}

metrics_epoch_0.96_fold_0_lr_1e-05_seed_5678.json

@@ -0,0 +1 @@
+{"epoch": 0.96, "precision": 0.37499999921875, "recall": 0.9999999944444444, "fold": 0}

metrics_epoch_2.0_fold_0_lr_1e-05_seed_5678.json

@@ -0,0 +1 @@
+{"epoch": 2.0, "precision": 0.3529411757785467, "recall": 0.9999999944444444, "fold": 0}

metrics_epoch_2.96_fold_0_lr_1e-05_seed_5678.json

@@ -0,0 +1 @@
+{"epoch": 2.96, "precision": 0.3333333326797386, "recall": 0.9444444391975308, "fold": 0}

metrics_epoch_3.84_fold_0_lr_1e-05_seed_5678.json

@@ -0,0 +1 @@
+{"epoch": 3.84, "precision": 0.33333333271604937, "recall": 0.9999999944444444, "fold": 0}

training_args.bin

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