---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- lc_quad
model-index:
- name: flan-t5-text2sparql-custom-tokenizer
  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. -->

# flan-t5-text2sparql-custom-tokenizer

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the lc_quad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8039

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 301   | 2.6503          |
| 3.2271        | 2.0   | 602   | 2.3894          |
| 3.2271        | 3.0   | 903   | 2.2532          |
| 2.3957        | 4.0   | 1204  | 2.1631          |
| 2.18          | 5.0   | 1505  | 2.0788          |
| 2.18          | 6.0   | 1806  | 2.0195          |
| 2.0209        | 7.0   | 2107  | 1.9681          |
| 2.0209        | 8.0   | 2408  | 1.9353          |
| 1.9087        | 9.0   | 2709  | 1.8936          |
| 1.8114        | 10.0  | 3010  | 1.8683          |
| 1.8114        | 11.0  | 3311  | 1.8556          |
| 1.7254        | 12.0  | 3612  | 1.8284          |
| 1.7254        | 13.0  | 3913  | 1.8099          |
| 1.6556        | 14.0  | 4214  | 1.7932          |
| 1.5891        | 15.0  | 4515  | 1.7823          |
| 1.5891        | 16.0  | 4816  | 1.7691          |
| 1.528         | 17.0  | 5117  | 1.7569          |
| 1.528         | 18.0  | 5418  | 1.7578          |
| 1.4784        | 19.0  | 5719  | 1.7561          |
| 1.4288        | 20.0  | 6020  | 1.7514          |
| 1.4288        | 21.0  | 6321  | 1.7372          |
| 1.3793        | 22.0  | 6622  | 1.7318          |
| 1.3793        | 23.0  | 6923  | 1.7244          |
| 1.3436        | 24.0  | 7224  | 1.7382          |
| 1.3073        | 25.0  | 7525  | 1.7254          |
| 1.3073        | 26.0  | 7826  | 1.7494          |
| 1.2692        | 27.0  | 8127  | 1.7378          |
| 1.2692        | 28.0  | 8428  | 1.7387          |
| 1.242         | 29.0  | 8729  | 1.7290          |
| 1.2107        | 30.0  | 9030  | 1.7391          |
| 1.2107        | 31.0  | 9331  | 1.7458          |
| 1.1817        | 32.0  | 9632  | 1.7528          |
| 1.1817        | 33.0  | 9933  | 1.7521          |
| 1.1661        | 34.0  | 10234 | 1.7672          |
| 1.136         | 35.0  | 10535 | 1.7594          |
| 1.136         | 36.0  | 10836 | 1.7564          |
| 1.1216        | 37.0  | 11137 | 1.7670          |
| 1.1216        | 38.0  | 11438 | 1.7724          |
| 1.1031        | 39.0  | 11739 | 1.7766          |
| 1.0834        | 40.0  | 12040 | 1.7756          |
| 1.0834        | 41.0  | 12341 | 1.7786          |
| 1.0707        | 42.0  | 12642 | 1.7947          |
| 1.0707        | 43.0  | 12943 | 1.7931          |
| 1.058         | 44.0  | 13244 | 1.7925          |
| 1.0489        | 45.0  | 13545 | 1.7939          |
| 1.0489        | 46.0  | 13846 | 1.7969          |
| 1.0421        | 47.0  | 14147 | 1.7982          |
| 1.0421        | 48.0  | 14448 | 1.7994          |
| 1.0357        | 49.0  | 14749 | 1.8018          |
| 1.03          | 50.0  | 15050 | 1.8039          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1