--- library_name: transformers license: other base_model: unsloth/gemma-2-2b-it tags: - llama-factory - full - generated_from_trainer model-index: - name: x9h results: [] --- # x9h This model is a fine-tuned version of [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it) on the v1.6, the v1.6b, the v1.6c, the v1.6d and the v1.6e datasets. ## 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: 5e-06 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 64 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.57.1 - Pytorch 2.10.0+cu129 - Datasets 4.0.0 - Tokenizers 0.22.2