---
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 [ASQA](https://huggingface.co/datasets/din0s/asqa) dataset with context (open book).
It achieves the following results on the evaluation set:
- Loss: 1.7256
- Rougelsum: 13.6463

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 2.5404        | 1.0   | 710   | 1.8160          | 13.0967   |
| 2.0048        | 2.0   | 1420  | 1.7752          | 13.2823   |
| 1.9116        | 3.0   | 2130  | 1.7574          | 13.3068   |
| 1.8722        | 4.0   | 2840  | 1.7469          | 13.3896   |
| 1.8298        | 5.0   | 3550  | 1.7395          | 13.4231   |
| 1.8397        | 6.0   | 4260  | 1.7347          | 13.5553   |
| 1.7575        | 7.0   | 4970  | 1.7303          | 13.5613   |
| 1.7433        | 8.0   | 5680  | 1.7266          | 13.5253   |
| 1.7502        | 9.0   | 6390  | 1.7254          | 13.5391   |
| 1.731         | 10.0  | 7100  | 1.7233          | 13.4958   |
| 1.6788        | 11.0  | 7810  | 1.7250          | 13.5977   |
| 1.6793        | 12.0  | 8520  | 1.7243          | 13.5956   |
| 1.6531        | 13.0  | 9230  | 1.7255          | 13.6186   |
| 1.683         | 14.0  | 9940  | 1.7259          | 13.6567   |
| 1.6348        | 15.0  | 10650 | 1.7256          | 13.6463   |


### Framework versions

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