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PaulD
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llama3_false_positives_1010_KTO_hp_screening_seeds

PEFT
Safetensors
trl
kto
Generated from Trainer
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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_2.0.json +1 -0
  6. metrics_epoch_2.0_fold_0_lr_0.0001_seed_5678_weight_2.0.json +1 -0
  7. results_epoch_0.96_fold_0_lr_0.0001_seed_5678_weight_2.0.json +0 -0
  8. results_epoch_2.0_fold_0_lr_0.0001_seed_5678_weight_2.0.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: 0.8384
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- - Eval/rewards/chosen: 4.1202
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- - Eval/logps/chosen: -159.3281
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- - Eval/rewards/rejected: 5.6445
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- - Eval/logps/rejected: -183.8697
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- - Eval/rewards/margins: -1.5243
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- - Eval/kl: 46.6855
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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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- | 0.5473 | 0.96 | 12 | 0.7074 | 21.7741 |
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- | 0.571 | 2.0 | 25 | 0.8384 | 46.6855 |
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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: 0.6719
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+ - Eval/rewards/chosen: 3.3033
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+ - Eval/logps/chosen: -167.4968
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+ - Eval/rewards/rejected: 2.5694
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+ - Eval/logps/rejected: -214.6203
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+ - Eval/rewards/margins: 0.7339
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+ - Eval/kl: 27.9394
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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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+ | 0.5643 | 0.96 | 12 | 0.6616 | 20.6058 |
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+ | 0.5188 | 2.0 | 25 | 0.6719 | 27.9394 |
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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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  "k_proj",
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  "o_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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  "k_proj",
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  "o_proj"
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  ],
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metrics.jsonl CHANGED
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metrics_epoch_0.96_fold_0_lr_0.0001_seed_5678_weight_2.0.json ADDED
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results_epoch_0.96_fold_0_lr_0.0001_seed_5678_weight_2.0.json ADDED
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results_epoch_2.0_fold_0_lr_0.0001_seed_5678_weight_2.0.json ADDED
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training_args.bin CHANGED
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