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metadata
license: mit
library_name: peft
tags:
  - trl
  - kto
  - generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
  - name: WeniGPT-Agents-Zephyr-1.0.17-KTO
    results: []

WeniGPT-Agents-Zephyr-1.0.17-KTO

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3619
  • Eval/rewards/chosen: 1.7854
  • Eval/logps/chosen: -265.8084
  • Eval/rewards/rejected: -3.3369
  • Eval/logps/rejected: -297.7391
  • Eval/rewards/margins: 5.1223
  • Eval/kl: 3.9467

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.03
  • training_steps: 145
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.4039 0.34 50 0.3767 0.7345
0.302 0.68 100 0.3619 3.9467

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2