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End of training
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metadata
library_name: peft
tags:
  - trl
  - dpo
  - generated_from_trainer
base_model: ENERGY-DRINK-LOVE/SOLAR_merge2
model-index:
  - name: lora_SOLAR_merge2_SFT-DPO
    results: []

lora_SOLAR_merge2_SFT-DPO

This model is a fine-tuned version of ENERGY-DRINK-LOVE/SOLAR_merge2 on an unknown dataset.

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: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 6
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 48
  • total_eval_batch_size: 48
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 3

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.37.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.1