--- library_name: transformers license: apache-2.0 base_model: HuggingFaceTB/SmolLM2-135M-Instruct tags: - trl - sft - generated_from_trainer datasets: - generator model-index: - name: SmolLM2-135M-Instruct_inst-sample-240809 results: [] --- # SmolLM2-135M-Instruct_inst-sample-240809 This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co./HuggingFaceTB/SmolLM2-135M-Instruct) 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 64 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1.0 ### Training results ### Framework versions - Transformers 4.45.2 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3