gemma-2-9b-it-alpaca
This model is a fine-tuned version of unsloth/gemma-2-9b-it-bnb-4bit on an unknown 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 4131
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 1000
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.43.2
- Pytorch 2.3.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for Stable-Diffusion-PT/gemma-2-9b-it-alpaca
Base model
google/gemma-2-9b
Finetuned
google/gemma-2-9b-it
Quantized
unsloth/gemma-2-9b-it-bnb-4bit