--- library_name: peft license: apache-2.0 base_model: unsloth/tinyllama-chat tags: - axolotl - generated_from_trainer model-index: - name: a9f95564-8108-4018-b0a8-c1519cc5a6bb results: [] --- [Built with Axolotl](https://github.com/axolotl-ai-cloud/axolotl)
# a9f95564-8108-4018-b0a8-c1519cc5a6bb This model is a fine-tuned version of [unsloth/tinyllama-chat](https://huggingface.co/unsloth/tinyllama-chat) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1068 ## 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: 0.000203 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: constant - lr_scheduler_warmup_steps: 50 - training_steps: 400 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | No log | 0.0051 | 1 | 2.7134 | | 0.2963 | 0.2528 | 50 | 0.1043 | | 0.1056 | 0.5057 | 100 | 0.1043 | | 0.105 | 0.7585 | 150 | 0.1033 | | 0.1054 | 1.0126 | 200 | 0.1043 | | 0.1045 | 1.2655 | 250 | 0.1060 | | 0.1043 | 1.5183 | 300 | 0.1068 | ### Framework versions - PEFT 0.13.2 - Transformers 4.46.0 - Pytorch 2.5.0+cu124 - Datasets 3.0.1 - Tokenizers 0.20.1