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tinyllama-chat-mine-dpo

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6240
  • Rewards/chosen: -0.7007
  • Rewards/rejected: -0.9684
  • Rewards/accuracies: 0.6825
  • Rewards/margins: 0.2677
  • Logps/rejected: -395.3808
  • Logps/chosen: -412.6868
  • Logits/rejected: -2.7107
  • Logits/chosen: -2.7399

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
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • 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
0.6685 0.2093 100 0.6694 -0.1299 -0.1943 0.6528 0.0644 -317.9682 -355.6027 -2.9255 -2.9507
0.642 0.4186 200 0.6407 -0.4273 -0.6175 0.6726 0.1902 -360.2873 -385.3470 -2.7926 -2.8208
0.6285 0.6279 300 0.6331 -0.4723 -0.6951 0.6647 0.2228 -368.0482 -389.8438 -2.7731 -2.8012
0.6222 0.8373 400 0.6240 -0.7007 -0.9684 0.6825 0.2677 -395.3808 -412.6868 -2.7107 -2.7399

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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