--- license: apache-2.0 library_name: peft tags: - trl-sft - generated_from_trainer datasets: - generator base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T model-index: - name: tinyllama_lora_norobots results: [] --- # tinyllama_lora_norobots This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 1.9106 ## 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: 0.0001 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.8966 | 1.0 | 98 | 1.9106 | ### Framework versions - PEFT 0.7.2.dev0 - Transformers 4.37.0.dev0 - Pytorch 2.1.2+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0