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dpo_0622_policy2

This model is a fine-tuned version of /root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-sft-0622-iter1-policy2 on the dpo_data_5370_0621 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0645
  • Rewards/chosen: 1.6397
  • Rewards/rejected: -2.7117
  • Rewards/accuracies: 1.0
  • Rewards/margins: 4.3514
  • Logps/rejected: -212.6626
  • Logps/chosen: -291.2645
  • Logits/rejected: -1.2750
  • Logits/chosen: -0.2107

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: 5e-06
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • 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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