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llama3_false_positives_1010_KTO_hp_screening_seeds

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2449
  • Eval/rewards/chosen: -0.1725
  • Eval/logps/chosen: -212.3262
  • Eval/rewards/rejected: -0.2031
  • Eval/logps/rejected: -235.8965
  • Eval/rewards/margins: 0.0307
  • Eval/kl: 0.0010

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 2
  • seed: 9012
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 6.0

Training results

Training Loss Epoch Step Validation Loss
0.7665 0.9412 12 1.3091 0.0694
0.7349 1.9608 25 1.2881 0.0051
0.7221 2.9804 38 1.2705 0.0002
0.6999 4.0 51 1.2533 0.0050
0.7169 4.9412 63 1.2452 0.0
0.5263 5.6471 72 1.2449 0.0010

Framework versions

  • PEFT 0.11.1
  • Transformers 4.44.0
  • Pytorch 2.2.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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