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: 1.9747
-- Eval/rewards/chosen: 3.2495
-- Eval/logps/chosen: -171.0409
-- Eval/rewards/rejected: 3.4477
-- Eval/logps/rejected: -180.7343
-- Eval/rewards/margins: -0.1982
-- Eval/kl: 30.9634
+- Loss: 1.4466
+- Eval/rewards/chosen: -0.3663
+- Eval/logps/chosen: -207.1990
+- Eval/rewards/rejected: -0.4813
+- Eval/logps/rejected: -220.0244
+- Eval/rewards/margins: 0.1150
+- Eval/kl: 0.0
 
 ## 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
@@ -56,14 +56,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |         |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.7853        | 0.96  | 12   | 0.8873          | 0.0     |
-| 0.7587        | 2.0   | 25   | 1.5629          | 7.2240  |
-| 0.4339        | 2.96  | 37   | 1.8790          | 24.4316 |
-| 0.434         | 4.0   | 50   | 1.9581          | 28.7113 |
-| 0.3651        | 4.96  | 62   | 1.9744          | 30.8687 |
-| 0.3787        | 5.76  | 72   | 1.9747          | 30.9634 |
+| Training Loss | Epoch | Step | Validation Loss |        |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0617        | 0.96  | 12   | 1.6713          | 0.0691 |
+| 1.5086        | 2.0   | 25   | 1.6025          | 0.0    |
+| 0.9726        | 2.96  | 37   | 1.5329          | 0.0    |
+| 1.2454        | 4.0   | 50   | 1.4632          | 0.0    |
+| 0.919         | 4.96  | 62   | 1.4446          | 0.0    |
+| 0.8342        | 5.76  | 72   | 1.4466          | 0.0    |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

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metrics.jsonl

@@ -88,3 +88,9 @@
 {"epoch": 4.0, "precision": 0.5714285693877551, "recall": 0.8888888839506173, "fold": 0}
 {"epoch": 4.96, "precision": 0.5652173888468809, "recall": 0.7222222182098765, "fold": 0}
 {"epoch": 5.76, "precision": 0.6666666634920635, "recall": 0.7777777734567901, "fold": 0}
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+{"epoch": 2.0, "precision": 0.35416666592881946, "recall": 0.9444444391975308, "fold": 0}
+{"epoch": 2.96, "precision": 0.3913043469754253, "recall": 0.9999999944444444, "fold": 0}
+{"epoch": 4.0, "precision": 0.3809523800453515, "recall": 0.8888888839506173, "fold": 0}
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+{"epoch": 5.76, "precision": 0.37499999921875, "recall": 0.9999999944444444, "fold": 0}

metrics_epoch_0.96_fold_0_lr_1e-05_seed_5678_weight_10.0.json

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metrics_epoch_2.0_fold_0_lr_1e-05_seed_5678_weight_10.0.json

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metrics_epoch_2.96_fold_0_lr_1e-05_seed_5678_weight_10.0.json

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metrics_epoch_4.0_fold_0_lr_1e-05_seed_5678_weight_10.0.json

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metrics_epoch_4.96_fold_0_lr_1e-05_seed_5678_weight_10.0.json

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metrics_epoch_5.76_fold_0_lr_1e-05_seed_5678_weight_10.0.json

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training_args.bin

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