chchen / gemma-2-9b-it-reward-1000

huggingface.co
Total runs: 24
24-hour runs: -1
7-day runs: 7
30-day runs: 18
Model's Last Updated: January 21 2025

Introduction of gemma-2-9b-it-reward-1000

Model Details of gemma-2-9b-it-reward-1000

gemma-2-9b-it-reward-1000

This model is a fine-tuned version of google/gemma-2-9b-it on the bct_non_cot_dpo_1000 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9005
  • Accuracy: 0.9
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: 0.0001
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_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: 10.0
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.1842 1.7778 50 0.3131 0.86
0.0237 3.5556 100 0.4458 0.9
0.0202 5.3333 150 0.8760 0.9
0.0042 7.1111 200 0.8973 0.9
0.0019 8.8889 250 0.9056 0.9
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-reward-1000 on huggingface.co

24
Total runs
-1
24-hour runs
-1
3-day runs
7
7-day runs
18
30-day runs

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