---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: seq2sparql
  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. -->

# seq2sparql

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 0.0

## 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: 4e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
| 0.3521        | 0.08  | 1000  | 0.1646          | 32.2799 | 27.7633 | 32.293 | 32.2772   | 19.0    |
| 0.1979        | 0.15  | 2000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.23  | 3000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.31  | 4000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.38  | 5000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.46  | 6000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.54  | 7000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.62  | 8000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.69  | 9000  | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.77  | 10000 | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.85  | 11000 | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 0.92  | 12000 | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |
| 0.0           | 1.0   | 13000 | nan             | 0.0     | 0.0     | 0.0    | 0.0       | 0.0     |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1