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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: sparql-qald9-t5-small-2021-10-19_22-32
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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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# sparql-qald9-t5-small-2021-10-19_22-32
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This model is a fine-tuned version of [yazdipour/text-to-sparql-t5-small-2021-10-19_10-17_lastDS](https://huggingface.co/yazdipour/text-to-sparql-t5-small-2021-10-19_10-17_lastDS) on the None dataset.
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Gen Len | P | R | F1 | Bleu-score | Bleu-precisions | Bleu-bp |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:------:|:----------:|:-------------------------------------------------------------------------------:|:-------:|
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| No log | 1.0 | 51 | 2.4477 | 19.0 | 0.3797 | 0.0727 | 0.2219 | 9.3495 | [73.47751849743882, 49.595519601742375, 35.346602608098834, 26.243305279265492] | 0.2180 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.9.0+cu111
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- Datasets 1.14.0
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- Tokenizers 0.10.3
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