mlfoundations-dev / simpo-stackoverflow_25000tasks_1p

huggingface.co
Total runs: 17
24-hour runs: 0
7-day runs: 0
30-day runs: 16
Model's Last Updated: January 18 2025
text-generation

Introduction of simpo-stackoverflow_25000tasks_1p

Model Details of simpo-stackoverflow_25000tasks_1p

simpo-stackoverflow_25000tasks_1p

This model is a fine-tuned version of mlfoundations-dev/stackoverflow_25000tasks_1p on the mlfoundations-dev/gemma2-ultrafeedback-armorm dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5764
  • Rewards/chosen: -41.7245
  • Rewards/rejected: -48.5194
  • Rewards/accuracies: 0.7931
  • Rewards/margins: 6.7950
  • Logps/chosen: -4.1724
  • Logps/rejected: -4.8519
  • Logits/chosen: -1.0221
  • Logits/rejected: -1.0402
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: 8e-07
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1.0
Training results
Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/chosen Logps/rejected Logits/chosen Logits/rejected
2.8273 0.9997 442 2.5764 -41.7245 -48.5194 0.7931 6.7950 -4.1724 -4.8519 -1.0221 -1.0402
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.3.0
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of mlfoundations-dev simpo-stackoverflow_25000tasks_1p on huggingface.co

17
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
16
30-day runs

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