metadata
base_model: google/gemma-1.1-2b-it
model-index:
- name: run2_short_8000
results: []
run2_short_8000
This model is a fine-tuned version of base_model: google/gemma-1.1-2b-it on the rubra_train_v1_gemma_short_v2 dataset.
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1