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 | |