--- tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-test-10 results: [] --- # myBit-Llama2-jp-127M-test-10 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: 4.5027 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 9.1233 | 0.07 | 200 | 7.9284 | | 7.0718 | 0.15 | 400 | 6.5191 | | 6.0222 | 0.22 | 600 | 5.5007 | | 5.3898 | 0.29 | 800 | 5.2505 | | 5.3181 | 0.37 | 1000 | 5.1436 | | 5.0295 | 0.44 | 1200 | 4.9255 | | 4.8843 | 0.52 | 1400 | 4.8118 | | 4.7822 | 0.59 | 1600 | 4.7350 | | 4.7075 | 0.66 | 1800 | 4.6671 | | 4.644 | 0.74 | 2000 | 4.6128 | | 4.593 | 0.81 | 2200 | 4.5621 | | 4.5478 | 0.88 | 2400 | 4.5245 | | 4.5167 | 0.96 | 2600 | 4.5027 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2