---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-asqa-ob
  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-base-asqa-ob

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: 2.2086
- Rougelsum: 11.8466

## 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
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 355  | 1.7972          | 11.9539   |
| 1.9198        | 2.0   | 710  | 1.8071          | 12.2057   |
| 1.504         | 3.0   | 1065 | 1.8566          | 11.9288   |
| 1.504         | 4.0   | 1420 | 1.9225          | 11.9550   |
| 1.232         | 5.0   | 1775 | 2.0097          | 11.9038   |
| 1.0016        | 6.0   | 2130 | 2.0912          | 11.9418   |
| 1.0016        | 7.0   | 2485 | 2.2086          | 11.8466   |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1