| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - sacrebleu | |
| model-index: | |
| - name: t5-pegasus-finetuned | |
| 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. --> | |
| # t5-pegasus-finetuned | |
| This model was trained from scratch on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.8469 | |
| - Sacrebleu: 1.6544 | |
| - Rouge 1: 0.0646 | |
| - Rouge 2: 0.0076 | |
| - Rouge L: 0.0629 | |
| - Bleu 1: 0.2040 | |
| - Bleu 2: 0.0959 | |
| - Bleu 3: 0.0484 | |
| - Bleu 4: 0.0287 | |
| - Meteor: 0.0872 | |
| - Gen Len: 16.0997 | |
| ## 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: 512 | |
| - eval_batch_size: 256 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 1024 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 100 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.21.0.dev0 | |
| - Pytorch 1.9.1+cu102 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |