--- license: apache-2.0 library_name: peft tags: - trl - sft - generated_from_trainer base_model: tinyllama/tinyllama-1.1b-intermediate-step-1431k-3t datasets: - generator model-index: - name: tinyllama_instruct results: [] --- # tinyllama_instruct 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: 1.3383 ## 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: 1 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - lr_scheduler_warmup_steps: 0.03 - training_steps: 300 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.4051 | 0.0704 | 300 | 1.3383 | ### Framework versions - PEFT 0.10.0 - Transformers 4.40.1 - Pytorch 2.2.1+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1