--- tags: - generated_from_trainer - mistral model-index: - name: taiwan-kapok-300M results: [] license: apache-2.0 language: - zh --- # taiwan-kapok-300M - Loss: 2.7894 ## 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: 0.0006 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 64 - total_train_batch_size: 512 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.95) and epsilon=0.0001 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 1000 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.6962 | 3.35 | 5000 | 2.7894 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.2+cu121 - Datasets 2.14.5 - Tokenizers 0.14.1