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metadata
license: mit
library_name: peft
tags:
  - trl
  - kto
  - KTO
  - WeniGPT
  - generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
  - name: WeniGPT-Agents-Zephyr-1.0.1-KTO
    results: []

WeniGPT-Agents-Zephyr-1.0.1-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: 0.4733
  • Rewards/chosen: -149.7694
  • Logps/chosen: -1804.1348
  • Rewards/rejected: -137.1733
  • Logps/rejected: -1664.4484
  • Kl: 0.0
  • Rewards/margins: -9.4252

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 Rewards/chosen Logps/chosen Rewards/rejected Logps/rejected Kl Rewards/margins
0.4081 0.34 50 0.3897 -0.9805 -316.2467 -3.9926 -332.6412 1.7103 3.1516
0.4304 0.68 100 0.4733 -149.7694 -1804.1348 -137.1733 -1664.4484 0.0 -9.4252

Framework versions

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