metadata
license: apache-2.0
base_model: cssupport/t5-small-awesome-text-to-sql
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Text2SQL-StudentProject-domain
results: []
Text2SQL-StudentProject-domain
This model is a fine-tuned version of cssupport/t5-small-awesome-text-to-sql on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1285
- Rouge1: 0.4284
- Rouge2: 0.2870
- Rougel: 0.4190
- Rougelsum: 0.4200
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: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 15 | 1.4839 | 0.4099 | 0.2241 | 0.3759 | 0.3776 |
| No log | 2.0 | 30 | 1.3820 | 0.4217 | 0.2599 | 0.3999 | 0.4011 |
| No log | 3.0 | 45 | 1.3091 | 0.4183 | 0.2608 | 0.4043 | 0.4046 |
| No log | 4.0 | 60 | 1.2522 | 0.4173 | 0.2635 | 0.4045 | 0.4047 |
| No log | 5.0 | 75 | 1.2117 | 0.4223 | 0.2730 | 0.4108 | 0.4119 |
| No log | 6.0 | 90 | 1.1793 | 0.4262 | 0.2740 | 0.4131 | 0.4143 |
| No log | 7.0 | 105 | 1.1566 | 0.4326 | 0.2809 | 0.4198 | 0.4209 |
| No log | 8.0 | 120 | 1.1413 | 0.4205 | 0.2766 | 0.4122 | 0.4115 |
| No log | 9.0 | 135 | 1.1318 | 0.4226 | 0.2802 | 0.4142 | 0.4136 |
| No log | 10.0 | 150 | 1.1285 | 0.4284 | 0.2870 | 0.4190 | 0.4200 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2