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| --- | |
| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - wmt14 | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: t5-small-finetuned-de-en-256-epochs2 | |
| results: | |
| - task: | |
| name: Sequence-to-sequence Language Modeling | |
| type: text2text-generation | |
| dataset: | |
| name: wmt14 | |
| type: wmt14 | |
| args: de-en | |
| metrics: | |
| - name: Bleu | |
| type: bleu | |
| value: 7.8579 | |
| --- | |
| <!-- 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. --> | |
| # t5-small-finetuned-de-en-256-epochs2 | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt14 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.1073 | |
| - Bleu: 7.8579 | |
| - Gen Len: 17.3896 | |
| ## 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: 2 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | |
| | No log | 1.0 | 188 | 2.1179 | 7.8498 | 17.382 | | |
| | No log | 2.0 | 376 | 2.1073 | 7.8579 | 17.3896 | | |
| ### Framework versions | |
| - Transformers 4.12.5 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.16.1 | |
| - Tokenizers 0.10.3 | |