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tulu2-7b-cost-UF-UI-judge13b-5e-7

This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6929
  • Rewards/chosen: 0.0029
  • Rewards/rejected: 0.0023
  • Rewards/accuracies: 0.5365
  • Rewards/margins: 0.0006
  • Rewards/margins Max: 0.0723
  • Rewards/margins Min: -0.0823
  • Rewards/margins Std: 0.0504
  • Logps/rejected: -318.0156
  • Logps/chosen: -337.8507
  • Logits/rejected: 0.8998
  • Logits/chosen: 0.7298

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: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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 Rewards/margins Max Rewards/margins Min Rewards/margins Std Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.6604 1.0 1724 0.6929 0.0029 0.0023 0.5365 0.0006 0.0723 -0.0823 0.0504 -318.0156 -337.8507 0.8998 0.7298

Framework versions

  • PEFT 0.7.1
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.2
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