metadata
base_model: TeeA/T5-Text2SQL-Bilingual
tags:
- generated_from_trainer
model-index:
- name: Text2SQL-Bilingual
results: []
Text2SQL-Bilingual
This model is a fine-tuned version of TeeA/T5-Text2SQL-Bilingual on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6685
- eval_rouge1: 0.9039
- eval_rouge2: 0.8589
- eval_rougeL: 0.9017
- eval_rougeLsum: 0.9014
- eval_runtime: 34.9375
- eval_samples_per_second: 14.311
- eval_steps_per_second: 3.578
- epoch: 13.0
- step: 57057
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: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2