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: 1.4466
-- 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
+- Loss: 0.6174
+- Eval/rewards/chosen: 3.9755
+- Eval/logps/chosen: -167.8246
+- Eval/rewards/rejected: 3.6477
+- Eval/logps/rejected: -185.0994
+- Eval/rewards/margins: 0.3278
+- Eval/kl: 30.1289
 
 ## Model description
 
@@ -43,10 +43,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - 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
@@ -56,14 +56,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| 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    |
+| Training Loss | Epoch  | Step | Validation Loss |         |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.5421        | 0.9412 | 12   | 0.6354          | 16.3097 |
+| 0.3533        | 1.9608 | 25   | 0.6275          | 23.1842 |
+| 0.1385        | 2.9804 | 38   | 0.6259          | 27.3092 |
+| 0.1556        | 4.0    | 51   | 0.6243          | 30.4607 |
+| 0.1375        | 4.9412 | 63   | 0.6181          | 30.1272 |
+| 0.303         | 5.6471 | 72   | 0.6174          | 30.1289 |
 
 
 ### 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

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metrics.jsonl

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metrics_epoch_0.9411764705882353_fold_0_lr_0.0001_seed_9012_weight_2.0.json

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metrics_epoch_1.9607843137254903_fold_0_lr_0.0001_seed_9012_weight_2.0.json

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metrics_epoch_2.980392156862745_fold_0_lr_0.0001_seed_9012_weight_2.0.json

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metrics_epoch_4.0_fold_0_lr_0.0001_seed_9012_weight_2.0.json

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metrics_epoch_4.9411764705882355_fold_0_lr_0.0001_seed_9012_weight_2.0.json

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metrics_epoch_5.647058823529412_fold_0_lr_0.0001_seed_9012_weight_2.0.json

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training_args.bin

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