metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-ost
results: []
t5-ost
This model is a fine-tuned version of 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