AA_preference_l0_new_step10_0_20

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_l0_new_step10_0_20 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5821
  • Rewards/chosen: 2.0597
  • Rewards/rejected: 0.2507
  • Rewards/accuracies: 0.8125
  • Rewards/margins: 1.8090
  • Logps/rejected: -190.9206
  • Logps/chosen: -248.7854
  • Logits/rejected: -2.4343
  • Logits/chosen: -2.4401

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: 1e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.3348 1.8692 50 0.5792 2.0282 0.3010 0.8125 1.7272 -190.4174 -249.0997 -2.4021 -2.4065

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.20.3
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