| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: mt5-base-en-ru | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # mt5-base-en-ru | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.7194 | |
| - Bleu: 14.3528 | |
| - Gen Len: 17.8655 | |
| ## 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: 0.0001 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 10 | |
| - total_train_batch_size: 160 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| | |
| | 0.5319 | 1.0 | 9641 | 0.8010 | 14.0075 | 17.8566 | | |
| | 0.5903 | 2.0 | 19282 | 0.7652 | 14.268 | 17.8691 | | |
| | 0.6942 | 3.0 | 28923 | 0.7194 | 14.3528 | 17.8655 | | |
| ### Framework versions | |
| - Transformers 4.16.2 | |
| - Pytorch 1.10.2+cu113 | |
| - Datasets 1.18.3 | |
| - Tokenizers 0.11.0 | |