--- library_name: transformers tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-2B4TLike results: [] --- # myBit-Llama2-jp-127M-2B4TLike This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.8431 ## 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: 0.0024 - train_batch_size: 12 - eval_batch_size: 12 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 96 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 750 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 4.9846 | 0.0587 | 500 | 5.1982 | | 3.7747 | 0.1175 | 1000 | 4.4941 | | 3.5109 | 0.1762 | 1500 | 4.0737 | | 3.3568 | 0.2350 | 2000 | 3.8909 | | 3.276 | 0.2937 | 2500 | 3.7147 | | 3.2203 | 0.3525 | 3000 | 3.5468 | | 3.1626 | 0.4112 | 3500 | 3.4098 | | 3.1272 | 0.4700 | 4000 | 3.3188 | | 3.0925 | 0.5287 | 4500 | 3.2339 | | 3.0693 | 0.5874 | 5000 | 3.1539 | | 3.0412 | 0.6462 | 5500 | 3.0721 | | 2.9981 | 0.7049 | 6000 | 3.0009 | | 2.9881 | 0.7637 | 6500 | 2.9514 | | 2.9871 | 0.8224 | 7000 | 2.9162 | | 2.9796 | 0.8812 | 7500 | 2.8879 | | 2.9914 | 0.9399 | 8000 | 2.8849 | | 2.9649 | 0.9987 | 8500 | 2.8431 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.6.0+cu124 - Datasets 3.5.1 - Tokenizers 0.21.1