chchen / Gemma-2-9B-It-SAA-Half

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: 3
Model's Last Updated: October 11 2024

Introduction of Gemma-2-9B-It-SAA-Half

Model Details of Gemma-2-9B-It-SAA-Half

Gemma-2-9B-It-SAA-Half

This model is a fine-tuned version of google/gemma-2-9b-it on the bct_non_cot_dpo_500 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1383
  • Rewards/chosen: -0.1098
  • Rewards/rejected: -0.1934
  • Rewards/accuracies: 0.8400
  • Rewards/margins: 0.0836
  • Logps/rejected: -1.9339
  • Logps/chosen: -1.0982
  • Logits/rejected: 0.3316
  • Logits/chosen: 0.1306
  • Sft Loss: 0.1185
  • Odds Ratio Loss: 10.1978
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-06
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3.0
Training results
Framework versions
  • PEFT 0.12.0
  • Transformers 4.45.2
  • Pytorch 2.3.0
  • Datasets 2.19.0
  • Tokenizers 0.20.0

Runs of chchen Gemma-2-9B-It-SAA-Half on huggingface.co

5
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
3
30-day runs

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Gemma-2-9B-It-SAA-Half install

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