gemma-1.1-7b-it-code2instruct
This model is a fine-tuned version of google/gemma-1.1-2b-it on the None 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.2
- Downloads last month
- 2
Model tree for Venkatesh4342/gemma-1.1-2b-it-code2instruct
Base model
google/gemma-1.1-2b-it