--- language: - en - bgc license: apache-2.0 base_model: google/mt5-base tags: - generated_from_trainer metrics: - bleu model-index: - name: tst-translation results: [] --- # tst-translation This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.8421 - Bleu: 13.1948 - Gen Len: 49.9179 ## 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: 0.0005 - train_batch_size: 8 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:| | 3.4257 | 1.9900 | 400 | 2.1087 | 4.1008 | 77.8284 | | 1.8571 | 3.9801 | 800 | 1.9292 | 8.6198 | 61.1418 | | 1.2467 | 5.9701 | 1200 | 1.9779 | 10.7074 | 48.3184 | | 0.8749 | 7.9602 | 1600 | 2.0539 | 11.8538 | 49.3483 | | 0.6141 | 9.9502 | 2000 | 2.1948 | 12.4452 | 51.1269 | | 0.4446 | 11.9403 | 2400 | 2.3902 | 12.3052 | 48.0995 | | 0.3251 | 13.9303 | 2800 | 2.5698 | 12.5824 | 49.1244 | | 0.2501 | 15.9204 | 3200 | 2.6631 | 13.0619 | 50.6095 | | 0.1986 | 17.9104 | 3600 | 2.7877 | 13.0557 | 51.1443 | | 0.1692 | 19.9005 | 4000 | 2.8421 | 13.1948 | 49.9179 | ### Framework versions - Transformers 4.43.0.dev0 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1