| language: | |
| - en | |
| - ro | |
| license: apache-2.0 | |
| tags: | |
| - translation | |
| - wmt16 | |
| - Lvxue | |
| datasets: | |
| - wmt16 | |
| metrics: | |
| - sacrebleu | |
| - bleu | |
| model-index: | |
| - name: Lvxue/finetuned-mt5-small-10epoch | |
| results: | |
| - task: | |
| type: translation | |
| name: Translation | |
| dataset: | |
| name: wmt16 | |
| type: wmt16 | |
| config: ro-en | |
| split: test | |
| metrics: | |
| - name: BLEU | |
| type: bleu | |
| value: 6.0012 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 1.7407585382461548 | |
| verified: true | |
| - name: gen_len | |
| type: gen_len | |
| value: 18.2281 | |
| verified: true | |
| <!-- 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. --> | |
| # finetuned-mt5-small-10epoch | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wmt16 ro-en dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.7274 | |
| ## 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: 5e-05 | |
| - train_batch_size: 48 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.20.1 | |
| - Pytorch 1.12.0+cu102 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |