dpo_06230018_policy2_0.01

This model is a fine-tuned version of /root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-sft-06221544-iter1-policy2 on the dpo_data_5370_0621 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3635
• Rewards/chosen: -0.1597
• Rewards/rejected: -1.0836
• Rewards/accuracies: 0.9778
• Rewards/margins: 0.9239
• Logps/rejected: -281.2147
• Logps/chosen: -300.2835
• Logits/rejected: -0.9418
• Logits/chosen: -0.0229

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