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PaulD
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llama3_false_positives_1010_KTO_hp_screening_seeds

PEFT
Safetensors
trl
kto
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End of training

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Files changed (9) hide show
  1. README.md +12 -12
  2. adapter_config.json +1 -1
  3. adapter_model.safetensors +1 -1
  4. metrics.jsonl +2 -0
  5. metrics_epoch_0.96_fold_0_lr_0.001_seed_5678_weight_5.0.json +1 -0
  6. metrics_epoch_2.0_fold_0_lr_0.001_seed_5678_weight_5.0.json +1 -0
  7. results_epoch_0.96_fold_0_lr_0.001_seed_5678_weight_5.0.json +0 -0
  8. results_epoch_2.0_fold_0_lr_0.001_seed_5678_weight_5.0.json +0 -0
  9. 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: 0.6739
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- - Eval/rewards/chosen: 0.1558
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- - Eval/logps/chosen: -198.9717
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- - Eval/rewards/rejected: 0.1376
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- - Eval/logps/rejected: -238.9384
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- - Eval/rewards/margins: 0.0182
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- - Eval/kl: 1.4137
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  ## Model description
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@@ -43,7 +43,7 @@ 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
@@ -56,10 +56,10 @@ 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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- | 0.5651 | 0.96 | 12 | 0.6738 | 0.3319 |
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- | 0.6129 | 2.0 | 25 | 0.6739 | 1.4137 |
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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: 1.4330
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+ - Eval/rewards/chosen: 4.6256
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+ - Eval/logps/chosen: -154.2737
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+ - Eval/rewards/rejected: 5.4354
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+ - Eval/logps/rejected: -185.9603
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+ - Eval/rewards/margins: -0.8098
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+ - Eval/kl: 49.4422
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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: 0.001
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.5149 | 0.96 | 12 | 1.0695 | 24.8568 |
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+ | 0.3612 | 2.0 | 25 | 1.4330 | 49.4422 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,8 +20,8 @@
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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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  "o_proj",
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  "k_proj"
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  ],
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
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  "v_proj",
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+ "q_proj",
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  "o_proj",
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  "k_proj"
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  ],
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metrics.jsonl CHANGED
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metrics_epoch_2.0_fold_0_lr_0.001_seed_5678_weight_5.0.json ADDED
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results_epoch_0.96_fold_0_lr_0.001_seed_5678_weight_5.0.json ADDED
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results_epoch_2.0_fold_0_lr_0.001_seed_5678_weight_5.0.json ADDED
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