README.md

metadata

base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
  - trl
  - kto
  - generated_from_trainer
model-index:
  - name: llama3_false_positives_0609_KTO_hp_screening_seeds
    results: []

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: 1.3382
• Eval/rewards/chosen: 0.0
• Eval/logps/chosen: -192.8253
• Eval/rewards/rejected: 0.0
• Eval/logps/rejected: -229.8692
• 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: 1234
• 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
3.3125	0.96	12	1.3382	0.0

Framework versions

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