---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-v1_1-base-squadV2AutoQgen
  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-v1_1-base-squadV2AutoQgen

This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5863
- Rouge1: 0.1449
- Rouge2: 0.0701
- Rougel: 0.1268
- Rougelsum: 0.1397

## 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: 0.0001
- 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: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.0146        | 1.0   | 4758  | 1.6980          | 0.143  | 0.0705 | 0.1257 | 0.1384    |
| 1.8197        | 2.0   | 9516  | 1.6290          | 0.1479 | 0.0716 | 0.1293 | 0.143     |
| 1.7023        | 3.0   | 14274 | 1.5961          | 0.1453 | 0.0711 | 0.1276 | 0.1402    |
| 1.6314        | 4.0   | 19032 | 1.5863          | 0.1449 | 0.0701 | 0.1268 | 0.1397    |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.0