metadata
license: apache-2.0
base_model: cssupport/t5-small-awesome-text-to-sql
tags:
- generated_from_trainer
model-index:
- name: text2sql-finetuned-60M
results: []
text2sql-finetuned-60M
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: 0.0054
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3586 | 0.29 | 150 | 0.1971 |
| 0.1748 | 0.57 | 300 | 0.0731 |
| 0.1453 | 0.86 | 450 | 0.0360 |
| 0.0947 | 1.15 | 600 | 0.0215 |
| 0.0816 | 1.44 | 750 | 0.0145 |
| 0.0635 | 1.72 | 900 | 0.0106 |
| 0.0464 | 2.01 | 1050 | 0.0085 |
| 0.0472 | 2.3 | 1200 | 0.0073 |
| 0.0414 | 2.59 | 1350 | 0.0065 |
| 0.0376 | 2.87 | 1500 | 0.0061 |
| 0.0342 | 3.16 | 1650 | 0.0057 |
| 0.0363 | 3.45 | 1800 | 0.0055 |
| 0.0389 | 3.74 | 1950 | 0.0055 |
| 0.0308 | 4.02 | 2100 | 0.0054 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1