Edit model card

llama3_false_positives_0609_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: 1.9850
  • Eval/rewards/chosen: 0.0
  • Eval/logps/chosen: -207.5800
  • Eval/rewards/rejected: 0.0
  • Eval/logps/rejected: -221.5768
  • Eval/rewards/margins: 0.0
  • Eval/kl: 0.0

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: 0.0
  • 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: 1.0

Training results

Training Loss Epoch Step Validation Loss
1.0625 0.9412 12 1.9850 0.0

Framework versions

  • PEFT 0.11.1
  • Transformers 4.44.0
  • Pytorch 2.2.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
6
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for PaulD/llama3_false_positives_0609_KTO_hp_screening_seeds

Adapter
(622)
this model