--- tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-test-16 results: [] --- # myBit-Llama2-jp-127M-test-16 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: 4.5029 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 9.0668 | 0.07 | 200 | 7.8313 | | 6.9502 | 0.15 | 400 | 6.3292 | | 5.8696 | 0.22 | 600 | 5.4250 | | 5.285 | 0.3 | 800 | 5.1157 | | 5.0167 | 0.37 | 1000 | 4.9604 | | 4.9441 | 0.45 | 1200 | 4.9913 | | 4.8204 | 0.52 | 1400 | 4.7712 | | 4.7314 | 0.6 | 1600 | 4.7058 | | 4.6562 | 0.67 | 1800 | 4.6503 | | 4.5941 | 0.74 | 2000 | 4.5901 | | 4.5479 | 0.82 | 2200 | 4.5508 | | 4.5155 | 0.89 | 2400 | 4.5194 | | 4.4939 | 0.97 | 2600 | 4.5029 | ### Framework versions - Transformers 4.39.1 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2