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lora_eager_ko-gemma-2-9b-it_nqa-sft-dataset
juniorVision/lora_eager_ko-gemma-2-9b-it_nqa-sft-dataset
lora_eager_ko-gemma-2-9b-it_nqa-sft-dataset is a machine learning model from juniorVision. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Nov 18, 2024
- Updated
- Nov 21, 2024
- SHA
- ebb6f406
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
lora_eager_ko-gemma-2-9b-it_nqa-sft-dataset
This model is a fine-tuned version of rtzr/ko-gemma-2-9b-it on the generator 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: 5e-07
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- License
- gemma
- Created
- Nov 18, 2024
- Updated
- Nov 21, 2024