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

huggingface.co
Total runs: 31
24-hour runs: 0
7-day runs: 0
30-day runs: 23
Model's Last Updated: January 21 2025

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

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

gemma-2-9b-it-sft-1000

This model is a fine-tuned version of google/gemma-2-9b-it on the bct_non_cot_sft_1000 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0564
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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Use 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: 10.0
Training results
Training Loss Epoch Step Validation Loss
0.0799 0.8889 50 0.0588
0.0381 1.7778 100 0.0564
0.0357 2.6667 150 0.0642
0.0104 3.5556 200 0.0803
0.0108 4.4444 250 0.0788
0.0008 5.3333 300 0.0896
0.0001 6.2222 350 0.1059
0.0001 7.1111 400 0.1147
0.0001 8.0 450 0.1179
0.0001 8.8889 500 0.1187
0.0001 9.7778 550 0.1196
Framework versions
  • PEFT 0.12.0
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of chchen gemma-2-9b-it-sft-1000 on huggingface.co

31
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
23
30-day runs

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chchen
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