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llama3_false_positives_0609_KTO_hp_screening_seeds

PEFT
Safetensors
trl
kto
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End of training

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Files changed (13) hide show
  1. README.md +15 -15
  2. adapter_config.json +3 -3
  3. adapter_model.safetensors +1 -1
  4. metrics.jsonl +4 -0
  5. metrics_epoch_0.9411764705882353_fold_0_lr_0.0001_seed_9012.json +1 -0
  6. metrics_epoch_1.9607843137254903_fold_0_lr_0.0001_seed_9012.json +1 -0
  7. metrics_epoch_2.980392156862745_fold_0_lr_0.0001_seed_9012.json +1 -0
  8. metrics_epoch_3.764705882352941_fold_0_lr_0.0001_seed_9012.json +1 -0
  9. results_epoch_0.9411764705882353_fold_0_lr_0.0001_seed_9012.json +0 -0
  10. results_epoch_1.9607843137254903_fold_0_lr_0.0001_seed_9012.json +0 -0
  11. results_epoch_2.980392156862745_fold_0_lr_0.0001_seed_9012.json +0 -0
  12. results_epoch_3.764705882352941_fold_0_lr_0.0001_seed_9012.json +0 -0
  13. training_args.bin +1 -1
README.md CHANGED
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6833
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- - Eval/rewards/chosen: 0.1418
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- - Eval/logps/chosen: -202.1179
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- - Eval/rewards/rejected: 0.1134
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- - Eval/logps/rejected: -214.0775
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- - Eval/rewards/margins: 0.0284
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- - Eval/kl: 1.2457
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  ## Model description
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@@ -43,10 +43,10 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 1
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  - eval_batch_size: 2
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- - seed: 5678
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 8
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -56,12 +56,12 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.5892 | 0.96 | 12 | 0.6859 | 0.2642 |
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- | 0.6692 | 2.0 | 25 | 0.6839 | 0.8353 |
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- | 0.5716 | 2.96 | 37 | 0.6828 | 1.1690 |
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- | 0.6558 | 3.84 | 48 | 0.6833 | 1.2457 |
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  ### Framework versions
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7043
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+ - Eval/rewards/chosen: 2.7139
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+ - Eval/logps/chosen: -180.4410
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+ - Eval/rewards/rejected: 2.5251
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+ - Eval/logps/rejected: -196.3258
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+ - Eval/rewards/margins: 0.1888
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+ - Eval/kl: 22.1345
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 1
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  - eval_batch_size: 2
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+ - seed: 9012
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 8
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.5502 | 0.9412 | 12 | 0.6760 | 8.5385 |
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+ | 0.3996 | 1.9608 | 25 | 0.6791 | 17.9477 |
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+ | 0.2636 | 2.9804 | 38 | 0.7076 | 21.9801 |
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+ | 0.34 | 3.7647 | 48 | 0.7043 | 22.1345 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,10 +20,10 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "o_proj",
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  "q_proj",
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- "k_proj"
 
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
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  "q_proj",
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+ "v_proj",
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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metrics_epoch_0.9411764705882353_fold_0_lr_0.0001_seed_9012.json ADDED
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results_epoch_3.764705882352941_fold_0_lr_0.0001_seed_9012.json ADDED
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