--- tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-3 results: [] --- # myBit-Llama2-jp-127M-3 This model is a fine-tuned version of [](https://huggingface.co./) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 14.1081 - eval_runtime: 0.0886 - eval_samples_per_second: 237.106 - eval_steps_per_second: 11.291 - epoch: 50.0 - step: 400 ## 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: 0.001 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: polynomial - num_epochs: 100 ### Framework versions - Transformers 4.39.1 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2