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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- vitext2sql |
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metrics: |
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- bleu |
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model-index: |
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- name: TrainedModels |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: vitext2sql |
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type: vitext2sql |
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config: vitext2sql_source |
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split: test |
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args: vitext2sql_source |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 5.1741 |
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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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# TrainedModels |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co./google/mt5-small) on the vitext2sql dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7564 |
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- Bleu: 5.1741 |
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- Gen Len: 18.1829 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 3 |
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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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| 0.9517 | 1.0 | 6831 | 0.8409 | 3.1104 | 16.164 | |
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| 0.7029 | 2.0 | 13662 | 0.7696 | 4.9487 | 18.153 | |
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| 0.6078 | 3.0 | 20493 | 0.7564 | 5.1741 | 18.1829 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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