t5-base-2-lora
This model is a fine-tuned version of cssupport/t5-small-awesome-text-to-sql on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5747
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7227 | 1.0 | 3750 | 1.6501 |
| 1.5207 | 2.0 | 7500 | 1.5747 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for BoghdadyJR/t5-base-2-lora
Base model
cssupport/t5-small-awesome-text-to-sql