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--- |
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base_model: t5-small |
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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: sql-training-1725691627 |
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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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# sql-training-1725691627 |
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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: 0.0117 |
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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: 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: 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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| 0.0561 | 0.0674 | 500 | 0.0401 | |
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| 0.0398 | 0.1348 | 1000 | 0.0298 | |
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| 0.035 | 0.2022 | 1500 | 0.0259 | |
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| 0.0312 | 0.2696 | 2000 | 0.0231 | |
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| 0.0244 | 0.3370 | 2500 | 0.0204 | |
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| 0.0264 | 0.4044 | 3000 | 0.0191 | |
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| 0.0295 | 0.4718 | 3500 | 0.0181 | |
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| 0.0227 | 0.5392 | 4000 | 0.0171 | |
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| 0.0245 | 0.6066 | 4500 | 0.0162 | |
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| 0.02 | 0.6739 | 5000 | 0.0153 | |
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| 0.0193 | 0.7413 | 5500 | 0.0148 | |
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| 0.0198 | 0.8087 | 6000 | 0.0142 | |
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| 0.0231 | 0.8761 | 6500 | 0.0139 | |
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| 0.0224 | 0.9435 | 7000 | 0.0134 | |
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| 0.0133 | 1.0109 | 7500 | 0.0131 | |
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| 0.0166 | 1.0783 | 8000 | 0.0129 | |
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| 0.0173 | 1.1457 | 8500 | 0.0126 | |
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| 0.0143 | 1.2131 | 9000 | 0.0124 | |
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| 0.0105 | 1.2805 | 9500 | 0.0123 | |
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| 0.0193 | 1.3479 | 10000 | 0.0122 | |
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| 0.0183 | 1.4153 | 10500 | 0.0120 | |
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| 0.0142 | 1.4827 | 11000 | 0.0119 | |
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| 0.0128 | 1.5501 | 11500 | 0.0118 | |
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| 0.0132 | 1.6175 | 12000 | 0.0118 | |
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| 0.0143 | 1.6849 | 12500 | 0.0117 | |
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| 0.015 | 1.7523 | 13000 | 0.0117 | |
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| 0.0161 | 1.8197 | 13500 | 0.0117 | |
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| 0.0132 | 1.8870 | 14000 | 0.0117 | |
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| 0.0119 | 1.9544 | 14500 | 0.0117 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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