databricks-dolly-15k_epoch-1_muon_lr-3e-5_momentum-0.9_lr-sched-cosine_model-gemma-2-9b_batch-size-128x1_seed-42
This model is a fine-tuned version of google/gemma-2-9b on the customized dataset.
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.1
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Model tree for yang29/dolly_epoch-1_muon_lr-3e-5-gemma-2-9b_batch-size-128x1_seed-42
Base model
google/gemma-2-9b