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mistral_gsm8k_dpo_0

This model is a fine-tuned version of weijie210/mistral_gsm8k_sft on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0108
  • Rewards/chosen: -1.6999
  • Rewards/rejected: -22.5187
  • Rewards/accuracies: 0.9957
  • Rewards/margins: 20.8188
  • Logps/rejected: -238.0359
  • Logps/chosen: -48.7549
  • Logits/rejected: -2.6146
  • Logits/chosen: -2.6687

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-07
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 32
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.36.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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