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license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: sql-training-1721369602
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sql-training-1721369602
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0133
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.0781 | 0.0674 | 500 | 0.0555 |
| 0.0478 | 0.1348 | 1000 | 0.0365 |
| 0.0405 | 0.2022 | 1500 | 0.0304 |
| 0.0357 | 0.2696 | 2000 | 0.0273 |
| 0.0288 | 0.3370 | 2500 | 0.0239 |
| 0.0298 | 0.4044 | 3000 | 0.0223 |
| 0.0325 | 0.4718 | 3500 | 0.0208 |
| 0.0258 | 0.5392 | 4000 | 0.0193 |
| 0.027 | 0.6066 | 4500 | 0.0186 |
| 0.0232 | 0.6739 | 5000 | 0.0176 |
| 0.0229 | 0.7413 | 5500 | 0.0168 |
| 0.022 | 0.8087 | 6000 | 0.0164 |
| 0.026 | 0.8761 | 6500 | 0.0159 |
| 0.0249 | 0.9435 | 7000 | 0.0153 |
| 0.0158 | 1.0109 | 7500 | 0.0149 |
| 0.0196 | 1.0783 | 8000 | 0.0147 |
| 0.0196 | 1.1457 | 8500 | 0.0144 |
| 0.0173 | 1.2131 | 9000 | 0.0142 |
| 0.0129 | 1.2805 | 9500 | 0.0142 |
| 0.0219 | 1.3479 | 10000 | 0.0138 |
| 0.0211 | 1.4153 | 10500 | 0.0137 |
| 0.0167 | 1.4827 | 11000 | 0.0136 |
| 0.0154 | 1.5501 | 11500 | 0.0135 |
| 0.0159 | 1.6175 | 12000 | 0.0134 |
| 0.0166 | 1.6849 | 12500 | 0.0134 |
| 0.0172 | 1.7523 | 13000 | 0.0134 |
| 0.0187 | 1.8197 | 13500 | 0.0133 |
| 0.0156 | 1.8870 | 14000 | 0.0133 |
| 0.0143 | 1.9544 | 14500 | 0.0133 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|