---
license: apache-2.0
tags:
- generated_from_trainer
datasets: din0s/asqa
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 [ASQA](https://huggingface.co/datasets/din0s/asqa) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7356
- Rougelsum: 12.0879

## 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: 1e-05
- 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  | 1.8545          | 11.6549   |
| 2.4887        | 2.0   | 710  | 1.8050          | 11.7533   |
| 1.9581        | 3.0   | 1065 | 1.7843          | 11.8327   |
| 1.9581        | 4.0   | 1420 | 1.7722          | 11.9442   |
| 1.9252        | 5.0   | 1775 | 1.7648          | 11.9331   |
| 1.8853        | 6.0   | 2130 | 1.7567          | 11.9788   |
| 1.8853        | 7.0   | 2485 | 1.7519          | 12.0300   |
| 1.8512        | 8.0   | 2840 | 1.7483          | 12.0225   |
| 1.8328        | 9.0   | 3195 | 1.7451          | 12.0402   |
| 1.8115        | 10.0  | 3550 | 1.7436          | 12.0444   |
| 1.8115        | 11.0  | 3905 | 1.7419          | 12.0850   |
| 1.7878        | 12.0  | 4260 | 1.7408          | 12.1047   |
| 1.774         | 13.0  | 4615 | 1.7394          | 12.0839   |
| 1.774         | 14.0  | 4970 | 1.7390          | 12.0910   |
| 1.7787        | 15.0  | 5325 | 1.7381          | 12.0880   |
| 1.7632        | 16.0  | 5680 | 1.7380          | 12.1088   |
| 1.7623        | 17.0  | 6035 | 1.7370          | 12.1046   |
| 1.7623        | 18.0  | 6390 | 1.7368          | 12.0997   |
| 1.7508        | 19.0  | 6745 | 1.7359          | 12.0902   |
| 1.7597        | 20.0  | 7100 | 1.7356          | 12.0879   |


### Framework versions

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