| license: mit | |
| tags: | |
| - translation | |
| - generated_from_trainer | |
| datasets: | |
| - kde4 | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: m2m100_418M-finetuned-kde4-en-to-pt_BR | |
| results: | |
| - task: | |
| name: Sequence-to-sequence Language Modeling | |
| type: text2text-generation | |
| dataset: | |
| name: kde4 | |
| type: kde4 | |
| args: en-pt_BR | |
| metrics: | |
| - name: Bleu | |
| type: bleu | |
| value: 58.31959113813223 | |
| <!-- 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. --> | |
| # m2m100_418M-finetuned-kde4-en-to-pt_BR | |
| This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the kde4 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5150 | |
| - Bleu: 58.3196 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.20.1 | |
| - Pytorch 1.12.0+cu113 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |