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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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widget: |
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- text: "translate to SQL: How many models with BERT architecture are in the HuggingFace Hub?" |
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- text: "translate to English: SELECT COUNT Model FROM table WHERE Architecture = RoBERTa AND creator = Manuel Romero" |
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metrics: |
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- bleu |
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model-index: |
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- name: t5-small-finetuned-wikisql-sql-nl-nl-sql |
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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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# t5-small-finetuned-wikisql-sql-nl-nl-sql |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1932 |
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- Bleu: 41.8787 |
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- Gen Len: 16.6251 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.2655 | 1.0 | 8097 | 0.2252 | 39.7999 | 16.6893 | |
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| 0.2401 | 2.0 | 16194 | 0.2066 | 40.9456 | 16.6712 | |
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| 0.2236 | 3.0 | 24291 | 0.1985 | 41.3509 | 16.5884 | |
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| 0.2158 | 4.0 | 32388 | 0.1944 | 41.6988 | 16.6165 | |
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| 0.2122 | 5.0 | 40485 | 0.1932 | 41.8787 | 16.6251 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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