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selfbiorag-7b-wo-kqa_golden-iter-dpo-step2

This model is a fine-tuned version of Minbyul/selfbiorag-7b-wo-kqa_golden-iter-sft-step1 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4028
  • Rewards/chosen: -1.3389
  • Rewards/rejected: -4.1640
  • Rewards/accuracies: 0.7344
  • Rewards/margins: 2.8251
  • Logps/rejected: -858.1113
  • Logps/chosen: -368.7221
  • Logits/rejected: -0.8026
  • Logits/chosen: -1.0600

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: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • total_eval_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: 1

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.139 0.62 100 0.3923 -1.1034 -3.4359 0.7422 2.3325 -785.2989 -345.1770 -0.8936 -1.1380

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.14.6
  • Tokenizers 0.15.2
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Finetuned from

Dataset used to train Minbyul/selfbiorag-7b-wo-kqa_golden-iter-dpo-step2