--- base_model: meta-llama/Llama-2-13b-hf library_name: peft license: llama2 tags: - trl - sft - generated_from_trainer model-index: - name: saiga13summary_v21_FULL results: [] --- # saiga13summary_v21_FULL This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8578 ## 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: 8 - seed: 42 - gradient_accumulation_steps: 10 - total_train_batch_size: 20 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 200 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.4321 | 0.7168 | 20 | 1.2582 | | 1.2013 | 1.4337 | 40 | 1.1311 | | 1.0033 | 2.1505 | 60 | 1.0325 | | 0.8827 | 2.8674 | 80 | 0.9661 | | 0.8191 | 3.5842 | 100 | 0.9235 | | 0.762 | 4.3011 | 120 | 0.8912 | | 0.7698 | 5.0179 | 140 | 0.8706 | | 0.7386 | 5.7348 | 160 | 0.8638 | | 0.7092 | 6.4516 | 180 | 0.8607 | | 0.6884 | 7.1685 | 200 | 0.8578 | ### Framework versions - PEFT 0.12.1.dev0 - Transformers 4.45.0.dev0 - Pytorch 2.3.0+cu121 - Datasets 2.17.1 - Tokenizers 0.19.1