| license: apache-2.0 | |
| base_model: t5-base | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: output | |
| 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. --> | |
| # output | |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2911 | |
| - Bleu: 65.8974 | |
| ## 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: 32 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 0.3791 | 1.0 | 1019 | 0.3168 | 65.3989 | | |
| | 0.3382 | 2.0 | 2038 | 0.2945 | 66.2317 | | |
| | 0.3251 | 3.0 | 3057 | 0.2890 | 66.3165 | | |
| ### Framework versions | |
| - Transformers 4.34.1 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.14.6 | |
| - Tokenizers 0.14.1 | |