--- base_model: meta-llama/Meta-Llama-3.1-8B-Instruct library_name: peft license: llama3.1 tags: - trl - sft - generated_from_trainer model-index: - name: Llama-31-8B_task-2_180-samples_config-1_full results: [] --- # Llama-31-8B_task-2_180-samples_config-1_full This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.3371 ## 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 - distributed_type: multi-GPU - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 50 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.504 | 1.0 | 17 | 1.5036 | | 1.3344 | 2.0 | 34 | 1.3101 | | 1.0895 | 3.0 | 51 | 1.1146 | | 0.9755 | 4.0 | 68 | 1.0741 | | 0.9637 | 5.0 | 85 | 1.0524 | | 0.9215 | 6.0 | 102 | 1.0349 | | 0.8984 | 7.0 | 119 | 1.0345 | | 0.7983 | 8.0 | 136 | 1.0459 | | 0.711 | 9.0 | 153 | 1.0750 | | 0.6725 | 10.0 | 170 | 1.1344 | | 0.629 | 11.0 | 187 | 1.1630 | | 0.4573 | 12.0 | 204 | 1.2680 | | 0.4754 | 13.0 | 221 | 1.2757 | | 0.4236 | 14.0 | 238 | 1.3371 | ### Framework versions - PEFT 0.12.0 - Transformers 4.44.0 - Pytorch 2.1.2+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1