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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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PaulD commited on
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End of training

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Files changed (9) hide show
  1. README.md +10 -10
  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_0.0001_seed_5678_weight_5.0.json +1 -0
  6. metrics_epoch_2.0_fold_0_lr_0.0001_seed_5678_weight_5.0.json +1 -0
  7. results_epoch_0.96_fold_0_lr_0.0001_seed_5678_weight_5.0.json +0 -0
  8. results_epoch_2.0_fold_0_lr_0.0001_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: 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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@@ -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: 0.001
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  - train_batch_size: 1
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  - eval_batch_size: 2
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  - seed: 5678
@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
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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
 
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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: 1.1232
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+ - Eval/rewards/chosen: 1.9522
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+ - Eval/logps/chosen: -181.0075
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+ - Eval/rewards/rejected: 1.3331
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+ - Eval/logps/rejected: -226.9831
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+ - Eval/rewards/margins: 0.6191
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+ - Eval/kl: 18.6818
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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: 5678
 
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  | Training Loss | Epoch | Step | Validation Loss | |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.6672 | 0.96 | 12 | 0.8960 | 0.0129 |
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+ | 0.7023 | 2.0 | 25 | 1.1232 | 18.6818 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,9 +20,9 @@
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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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  "task_type": "CAUSAL_LM",
 
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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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  "v_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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metrics.jsonl CHANGED
@@ -18,3 +18,5 @@
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  {"epoch": 0.96, "precision": 0.4411764692906574, "recall": 0.4999999983333333, "fold": 0}
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  {"epoch": 2.0, "precision": 0.2238805968478503, "recall": 0.9999999966666666, "fold": 0}
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metrics_epoch_0.96_fold_0_lr_0.0001_seed_5678_weight_5.0.json ADDED
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metrics_epoch_2.0_fold_0_lr_0.0001_seed_5678_weight_5.0.json ADDED
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results_epoch_0.96_fold_0_lr_0.0001_seed_5678_weight_5.0.json ADDED
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results_epoch_2.0_fold_0_lr_0.0001_seed_5678_weight_5.0.json ADDED
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training_args.bin CHANGED
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