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zephyr-7b-ipo-lora

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 18.0888
  • Rewards/chosen: 0.0201
  • Rewards/rejected: -0.1194
  • Rewards/accuracies: 0.7320
  • Rewards/margins: 0.1395
  • Logps/rejected: -212.8609
  • Logps/chosen: -268.5415
  • Logits/rejected: -2.3003
  • Logits/chosen: -2.6873

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: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 256
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
19.1303 1.0 242 18.9124 0.0302 -0.0939 0.7360 0.1241 -212.6061 -268.4410 -2.3029 -2.6884
19.0824 2.0 484 18.2266 0.0186 -0.1163 0.7600 0.1349 -212.8297 -268.5567 -2.3011 -2.6877
18.0366 3.0 726 18.0888 0.0201 -0.1194 0.7320 0.1395 -212.8609 -268.5415 -2.3003 -2.6873

Framework versions

  • Transformers 4.36.1
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.0

Training procedure

Framework versions

  • PEFT 0.6.1
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