library_name: transformers | |
license: apache-2.0 | |
base_model: t5-small | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: sql-training-1734601832 | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# sql-training-1734601832 | |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.0090 | |
## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
- lr_scheduler_type: linear | |
- num_epochs: 2 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:------:|:----:|:---------------:| | |
| 0.0273 | 0.5086 | 500 | 0.0147 | | |
| 0.0168 | 1.0173 | 1000 | 0.0105 | | |
| 0.0116 | 1.5259 | 1500 | 0.0090 | | |
### Framework versions | |
- Transformers 4.47.1 | |
- Pytorch 2.5.1+cu124 | |
- Datasets 3.2.0 | |
- Tokenizers 0.21.0 | |