--- tags: - generated_from_trainer metrics: - bleu model-index: - name: Simple_Translation-model-for-GPT-v2 results: [] --- # Simple_Translation-model-for-GPT-v2 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1430 - Bleu: 47.2655 - Gen Len: 15.2769 ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 0.2158 | 1.0 | 4571 | 0.1551 | 46.2737 | 15.265 | | 0.2101 | 2.0 | 9142 | 0.1430 | 47.2655 | 15.2769 | ### Framework versions - Transformers 4.41.0 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1