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---
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
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