gemma-2b-dolly-qa
This model is a fine-tuned version of google/gemma-2b 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 296
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0a0+cxx11.abi
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/gemma-2b