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--- |
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tags: |
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- generated_from_trainer |
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base_model: htriedman/wiki-sparql-models |
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model-index: |
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- name: wiki-sparql-models |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wiki-sparql-models |
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This model is a fine-tuned version of [htriedman/wiki-sparql-models](https://huggingface.co/htriedman/wiki-sparql-models) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0189 |
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- Rouge2 Precision: 0.8846 |
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- Rouge2 Recall: 0.1611 |
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- Rouge2 Fmeasure: 0.2648 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | |
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|:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:| |
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| 0.0303 | 1.0 | 55180 | 0.0258 | 0.8688 | 0.1586 | 0.2605 | |
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| 0.0231 | 2.0 | 110360 | 0.0218 | 0.8776 | 0.1597 | 0.2625 | |
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| 0.02 | 3.0 | 165540 | 0.0201 | 0.8821 | 0.1607 | 0.2641 | |
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| 0.0164 | 4.0 | 220720 | 0.0192 | 0.8842 | 0.1611 | 0.2646 | |
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| 0.0175 | 5.0 | 275900 | 0.0189 | 0.8846 | 0.1611 | 0.2648 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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