| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: t5-ost |
| | 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-ost |
| |
|
| | This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0581 |
| |
|
| | ## 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: 0.0005 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 1000 |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.5695 | 0.39 | 500 | 0.0591 | |
| | | 0.0606 | 0.77 | 1000 | 0.0588 | |
| | | 0.0575 | 1.16 | 1500 | 0.0588 | |
| | | 0.0551 | 1.55 | 2000 | 0.0586 | |
| | | 0.0549 | 1.93 | 2500 | 0.0581 | |
| | | 0.0487 | 2.32 | 3000 | 0.0597 | |
| | | 0.0478 | 2.71 | 3500 | 0.0594 | |
| | | 0.0463 | 3.1 | 4000 | 0.0624 | |
| | | 0.0404 | 3.48 | 4500 | 0.0625 | |
| | | 0.041 | 3.87 | 5000 | 0.0617 | |
| | | 0.0366 | 4.26 | 5500 | 0.0656 | |
| | | 0.0347 | 4.64 | 6000 | 0.0658 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.22.1 |
| | - Pytorch 1.12.0 |
| | - Datasets 2.5.1 |
| | - Tokenizers 0.12.1 |
| | |
