--- library_name: peft license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags: - generated_from_trainer model-index: - name: tinyllama-1.1b-sft-lora results: [] --- # tinyllama-1.1b-sft-lora This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset. It achieves the following results on the evaluation set: - Loss: nan ## 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: 0.0003 - train_batch_size: 2 - eval_batch_size: 2 - seed: 4234 - gradient_accumulation_steps: 2 - total_train_batch_size: 4 - optimizer: Use OptimizerNames.PAGED_ADAMW 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: 0.03 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | No log | 0.0889 | 2 | nan | | No log | 0.1778 | 4 | nan | | 0.0 | 0.2667 | 6 | nan | | 0.0 | 0.3556 | 8 | nan | | 0.0 | 0.4444 | 10 | nan | | 0.0 | 0.5333 | 12 | nan | | 0.0 | 0.6222 | 14 | nan | | 0.0 | 0.7111 | 16 | nan | | 0.0 | 0.8 | 18 | nan | | 0.0 | 0.8889 | 20 | nan | | 0.0 | 0.9778 | 22 | nan | ### Framework versions - PEFT 0.15.2 - Transformers 4.51.3 - Pytorch 2.7.0+cu128 - Datasets 3.5.0 - Tokenizers 0.21.1