| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - opus100 | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: zh2en_opus_100_t5 | |
| results: | |
| - task: | |
| name: Sequence-to-sequence Language Modeling | |
| type: text2text-generation | |
| dataset: | |
| name: opus100 | |
| type: opus100 | |
| config: en-zh | |
| split: test | |
| args: en-zh | |
| metrics: | |
| - name: Bleu | |
| type: bleu | |
| value: 3.9852 | |
| <!-- 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. --> | |
| # zh2en_opus_100_t5 | |
| This model is a fine-tuned version of [HAJIWEE/zh2en_opus_100_t5](https://huggingface.co/HAJIWEE/zh2en_opus_100_t5) on the opus100 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.6166 | |
| - Bleu: 3.9852 | |
| - Gen Len: 15.8015 | |
| ## 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: 6 | |
| - eval_batch_size: 6 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
| |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:| | |
| | 2.7037 | 1.0 | 166667 | 2.6341 | 4.0036 | 16.174 | | |
| | 2.74 | 2.0 | 333334 | 2.6166 | 3.9852 | 15.8015 | | |
| ### Framework versions | |
| - Transformers 4.27.4 | |
| - Pytorch 2.0.0+cu117 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |