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sft_0626_after_2_dpo_9

This model is a fine-tuned version of /root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-dpo-06250115-iter2-after-dpo-0.6 on the sft_data_1474_0624_9_iter2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7347

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: 0.0001
  • train_batch_size: 6
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 48
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3.0

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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