---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: sparql-qald9-t5-base-2021-10-19_00-15
  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. -->

# sparql-qald9-t5-base-2021-10-19_00-15

This model is a fine-tuned version of [yazdipour/text-to-sparql-t5-base-2021-10-18_16-15](https://huggingface.co/yazdipour/text-to-sparql-t5-base-2021-10-18_16-15) on the None dataset.

## 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: 0.0003
- 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Gen Len | P      | R      | F1     | Bleu-score | Bleu-precisions                                                               | Bleu-bp |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:------:|:----------:|:-----------------------------------------------------------------------------:|:-------:|
| No log        | 1.0   | 51   | 1.8998          | 19.0    | 0.3634 | 0.0387 | 0.1963 | 9.9428     | [71.94645844952593, 49.30006086427267, 35.36503683858004, 28.145941921072225] | 0.2294  |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3