IE_M2_50steps_1e7rate_03beta_SFT

This model is a fine-tuned version of tsavage68/IE_M2_1000steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3782
  • Rewards/chosen: -0.1103
  • Rewards/rejected: -2.3818
  • Rewards/accuracies: 0.4600
  • Rewards/margins: 2.2716
  • Logps/rejected: -48.9613
  • Logps/chosen: -42.5731
  • Logits/rejected: -2.9040
  • Logits/chosen: -2.8424

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-07
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • training_steps: 50

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.4682 0.4 50 0.3782 -0.1103 -2.3818 0.4600 2.2716 -48.9613 -42.5731 -2.9040 -2.8424

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.0.0+cu117
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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