--- tags: - generated_from_trainer model-index: - name: BitLlama2-jp-127M-optim-5 results: [] --- # BitLlama2-jp-127M-optim-5 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: 3.3371 ## 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: 0.0024 - train_batch_size: 96 - eval_batch_size: 96 - seed: 42 - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 6.7921 | 0.07 | 200 | 4.8512 | | 4.5418 | 0.15 | 400 | 4.3268 | | 4.2222 | 0.22 | 600 | 4.1073 | | 4.0059 | 0.29 | 800 | 3.9347 | | 3.8659 | 0.36 | 1000 | 3.8328 | | 3.7629 | 0.44 | 1200 | 3.7371 | | 3.6818 | 0.51 | 1400 | 3.6555 | | 3.6096 | 0.58 | 1600 | 3.5856 | | 3.5381 | 0.65 | 1800 | 3.5292 | | 3.4745 | 0.73 | 2000 | 3.4763 | | 3.4272 | 0.8 | 2200 | 3.4294 | | 3.3825 | 0.87 | 2400 | 3.3832 | | 3.3172 | 0.94 | 2600 | 3.3371 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2