--- tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-test-15 results: [] --- # myBit-Llama2-jp-127M-test-15 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: 4.5958 ## 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: 0.00024 - train_batch_size: 96 - eval_batch_size: 96 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: polynomial - lr_scheduler_warmup_steps: 500 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 9.1453 | 0.07 | 200 | 8.0071 | | 7.103 | 0.14 | 400 | 6.5019 | | 5.9901 | 0.22 | 600 | 5.8962 | | 5.3919 | 0.29 | 800 | 5.3668 | | 5.285 | 0.36 | 1000 | 5.1433 | | 5.0055 | 0.43 | 1200 | 5.0014 | | 4.8818 | 0.51 | 1400 | 4.8863 | | 4.7867 | 0.58 | 1600 | 4.8011 | | 4.7076 | 0.65 | 1800 | 4.7424 | | 4.6476 | 0.72 | 2000 | 4.6900 | | 4.6026 | 0.8 | 2200 | 4.6517 | | 4.5725 | 0.87 | 2400 | 4.6187 | | 4.5339 | 0.94 | 2600 | 4.5958 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2