gemma-captioning-lora
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 1
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1
- Downloads last month
- 19
Model tree for chaley22/gemma-captioning-lora
Base model
google/gemma-2b
Adapter
this model