gemma-2b-dolly-15k-lora
This model is a fine-tuned version of google/gemma-2b 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.3.0
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for shubham-krishna/gemma-2b-dolly-15k-lora
Base model
google/gemma-2b