--- tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-test-12 results: [] --- # myBit-Llama2-jp-127M-test-12 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: 6.3033 ## 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: 50 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 10.0642 | 0.07 | 20 | 9.4022 | | 9.0973 | 0.15 | 40 | 8.6900 | | 8.3576 | 0.22 | 60 | 7.9690 | | 7.7499 | 0.29 | 80 | 7.4678 | | 7.3343 | 0.36 | 100 | 7.1266 | | 7.0503 | 0.44 | 120 | 6.9132 | | 6.9035 | 0.51 | 140 | 6.8141 | | 6.8471 | 0.58 | 160 | 6.7611 | | 6.8217 | 0.65 | 180 | 6.7305 | | 6.7783 | 0.73 | 200 | 6.6345 | | 6.6382 | 0.8 | 220 | 6.4734 | | 6.5006 | 0.87 | 240 | 6.3855 | | 6.4282 | 0.95 | 260 | 6.3033 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2