metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
widget:
- text: >-
translate to SQL: How many models with BERT architecture are in the
HuggingFace Hub?
- text: >-
translate to English: SELECT COUNT Model FROM table WHERE Architecture =
RoBERTa AND creator = Manuel Romero
base_model: t5-small
model-index:
- name: t5-small-finetuned-wikisql-sql-nl-nl-sql
results: []
t5-small-finetuned-wikisql-sql-nl-nl-sql
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1932
- Bleu: 41.8787
- Gen Len: 16.6251
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.2655 | 1.0 | 8097 | 0.2252 | 39.7999 | 16.6893 |
| 0.2401 | 2.0 | 16194 | 0.2066 | 40.9456 | 16.6712 |
| 0.2236 | 3.0 | 24291 | 0.1985 | 41.3509 | 16.5884 |
| 0.2158 | 4.0 | 32388 | 0.1944 | 41.6988 | 16.6165 |
| 0.2122 | 5.0 | 40485 | 0.1932 | 41.8787 | 16.6251 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6