--- tags: - generated_from_trainer metrics: - bleu model-index: - name: vlsp_lo-vi-mta results: [] --- # vlsp_lo-vi-mta This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.5710 - Bleu: 44.3925 - Gen Len: 24.808 ## 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: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| | 1.6268 | 1.0 | 6250 | 1.7723 | 38.2292 | 24.737 | | 1.4286 | 2.0 | 12500 | 1.6487 | 41.6858 | 24.748 | | 1.2249 | 3.0 | 18750 | 1.5879 | 43.4096 | 24.624 | | 1.1483 | 4.0 | 25000 | 1.5710 | 44.3925 | 24.808 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu117 - Datasets 2.14.5 - Tokenizers 0.13.3