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--- |
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base_model: t5-small |
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library_name: transformers |
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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: en-af-sql-training-1727527893 |
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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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# en-af-sql-training-1727527893 |
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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: 0.0210 |
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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: 0.005 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0573 | 0.1348 | 500 | 0.0452 | |
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| 0.0424 | 0.2695 | 1000 | 0.0364 | |
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| 0.037 | 0.4043 | 1500 | 0.0323 | |
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| 0.0356 | 0.5391 | 2000 | 0.0287 | |
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| 0.0328 | 0.6739 | 2500 | 0.0269 | |
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| 0.0281 | 0.8086 | 3000 | 0.0255 | |
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| 0.0286 | 0.9434 | 3500 | 0.0238 | |
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| 0.0269 | 1.0782 | 4000 | 0.0233 | |
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| 0.0247 | 1.2129 | 4500 | 0.0225 | |
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| 0.0245 | 1.3477 | 5000 | 0.0217 | |
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| 0.0226 | 1.4825 | 5500 | 0.0214 | |
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| 0.0245 | 1.6173 | 6000 | 0.0211 | |
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| 0.024 | 1.7520 | 6500 | 0.0210 | |
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| 0.0249 | 1.8868 | 7000 | 0.0210 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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