--- tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-test-20 results: [] --- # myBit-Llama2-jp-127M-test-20 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: 3.4890 ## 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=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: polynomial - lr_scheduler_warmup_steps: 500 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 6.9256 | 0.07 | 200 | 4.9236 | | 4.6058 | 0.15 | 400 | 4.4149 | | 4.3066 | 0.22 | 600 | 4.2187 | | 4.126 | 0.29 | 800 | 4.0780 | | 4.0117 | 0.37 | 1000 | 3.9963 | | 3.9295 | 0.44 | 1200 | 3.9215 | | 3.8601 | 0.51 | 1400 | 3.8477 | | 3.7821 | 0.59 | 1600 | 3.7748 | | 3.7065 | 0.66 | 1800 | 3.7078 | | 3.6407 | 0.73 | 2000 | 3.6518 | | 3.5957 | 0.8 | 2200 | 3.5923 | | 3.5302 | 0.88 | 2400 | 3.5368 | | 3.482 | 0.95 | 2600 | 3.4890 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2