chchen / Gemma-2B-It-ORPO-SAA

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 1
30-day runs: 6
Model's Last Updated: August 15 2024

Introduction of Gemma-2B-It-ORPO-SAA

Model Details of Gemma-2B-It-ORPO-SAA

Gemma-2B-It-ORPO-SALT

This model is a fine-tuned version of google/gemma-2b-it on the dpo_mix_en and the bct_non_cot_dpo_1000 datasets. It achieves the following results on the evaluation set:

  • Loss: 1.3294
  • Rewards/chosen: -0.1257
  • Rewards/rejected: -0.1400
  • Rewards/accuracies: 0.5345
  • Rewards/margins: 0.0142
  • Logps/rejected: -1.3996
  • Logps/chosen: -1.2573
  • Logits/rejected: -20.6959
  • Logits/chosen: -20.6644
  • Sft Loss: 1.2573
  • Odds Ratio Loss: 0.7207
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_steps: 0.1
  • num_epochs: 3.0
Training results
Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen Sft Loss Odds Ratio Loss
1.4057 0.8082 500 1.3871 -0.1315 -0.1452 0.5318 0.0137 -1.4522 -1.3148 -21.9402 -21.9144 1.3148 0.7223
1.2196 1.6165 1000 1.3397 -0.1268 -0.1408 0.5355 0.0140 -1.4079 -1.2678 -20.9111 -20.8823 1.2678 0.7187
1.2883 2.4247 1500 1.3294 -0.1257 -0.1400 0.5345 0.0142 -1.3996 -1.2573 -20.6959 -20.6644 1.2573 0.7207
Framework versions
  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.3.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1

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

8
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
6
30-day runs

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