---
tags:
- generated_from_trainer
model-index:
- name: wiki-sparql-models
  results: []
---

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# wiki-sparql-models

This model is a fine-tuned version of [htriedman/wiki-sparql-models](https://huggingface.co/htriedman/wiki-sparql-models) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0189
- Rouge2 Precision: 0.8846
- Rouge2 Recall: 0.1611
- Rouge2 Fmeasure: 0.2648

## 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: 5e-05
- 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: 5

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0303        | 1.0   | 55180  | 0.0258          | 0.8688           | 0.1586        | 0.2605          |
| 0.0231        | 2.0   | 110360 | 0.0218          | 0.8776           | 0.1597        | 0.2625          |
| 0.02          | 3.0   | 165540 | 0.0201          | 0.8821           | 0.1607        | 0.2641          |
| 0.0164        | 4.0   | 220720 | 0.0192          | 0.8842           | 0.1611        | 0.2646          |
| 0.0175        | 5.0   | 275900 | 0.0189          | 0.8846           | 0.1611        | 0.2648          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3