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: 0.9005
- Rouge1: 0.4529
- Rouge2: 0.3258
- Rougel: 0.4443
- Rougelsum: 0.4461
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 | 1.0750 | 0.4460 | 0.3140 | 0.4356 | 0.4352 |
| No log | 2.0 | 30 | 1.0304 | 0.4506 | 0.3265 | 0.4404 | 0.4411 |
| No log | 3.0 | 45 | 0.9959 | 0.4529 | 0.3287 | 0.4438 | 0.4454 |
| No log | 4.0 | 60 | 0.9662 | 0.4599 | 0.3327 | 0.4487 | 0.4509 |
| No log | 5.0 | 75 | 0.9446 | 0.4589 | 0.3336 | 0.4498 | 0.4516 |
| No log | 6.0 | 90 | 0.9272 | 0.4521 | 0.3272 | 0.4424 | 0.4454 |
| No log | 7.0 | 105 | 0.9151 | 0.4499 | 0.3247 | 0.4413 | 0.4440 |
| No log | 8.0 | 120 | 0.9071 | 0.4510 | 0.3247 | 0.4424 | 0.4446 |
| No log | 9.0 | 135 | 0.9022 | 0.4529 | 0.3258 | 0.4443 | 0.4461 |
| No log | 10.0 | 150 | 0.9005 | 0.4529 | 0.3258 | 0.4443 | 0.4461 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2