metadata
tags:
- generated_from_trainer
model-index:
- name: wiki-sparql-models
results: []
wiki-sparql-models
This model is a fine-tuned version of 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