---
license: apache-2.0
base_model: yazdipour/text-to-sparql-t5-small-qald9
tags:
- generated_from_trainer
model-index:
- name: text-to-sparql-Version-3.5
  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. -->

# text-to-sparql-Version-3.5

This model is a fine-tuned version of [yazdipour/text-to-sparql-t5-small-qald9](https://huggingface.co/yazdipour/text-to-sparql-t5-small-qald9) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0689
- Gen Len: 19.0
- Bleu-score: 0.3061
- Bleu-precisions: [91.41630901287553, 82.88177339901478, 72.54335260115607, 64.86013986013987]
- Bleu-bp: 0.0040

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bleu-score | Bleu-precisions                                                               | Bleu-bp |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:----------:|:-----------------------------------------------------------------------------:|:-------:|
| No log        | 1.0   | 18   | 0.9058          | 19.0    | 0.3206     | [77.68014059753955, 42.92730844793713, 18.040089086859687, 6.298200514138817] | 0.0129  |
| No log        | 2.0   | 36   | 0.3255          | 19.0    | 0.1908     | [85.59046587215602, 65.37982565379825, 42.60614934114202, 29.129662522202487] | 0.0037  |
| No log        | 3.0   | 54   | 0.1637          | 19.0    | 0.1969     | [89.16478555304741, 76.76240208877284, 62.538699690402474, 55.32319391634981] | 0.0028  |
| No log        | 4.0   | 72   | 0.1002          | 19.0    | 0.2395     | [91.40022050716648, 79.41550190597205, 66.11694152923538, 57.22120658135283]  | 0.0033  |
| No log        | 5.0   | 90   | 0.0761          | 19.0    | 0.2712     | [91.28540305010893, 81.57894736842105, 70.64896755162242, 62.18637992831541]  | 0.0036  |
| No log        | 6.0   | 108  | 0.0689          | 19.0    | 0.3061     | [91.41630901287553, 82.88177339901478, 72.54335260115607, 64.86013986013987]  | 0.0040  |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2