Instructions to use harinib/tenjinonline_text2sql_withjoins with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harinib/tenjinonline_text2sql_withjoins with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harinib/tenjinonline_text2sql_withjoins") model = AutoModelForSeq2SeqLM.from_pretrained("harinib/tenjinonline_text2sql_withjoins") - Notebooks
- Google Colab
- Kaggle
tenjinonline_text2sql_withjoins
This model is a fine-tuned version of tscholak/3vnuv1vf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 22.2682
- Gen Len: 72.2442
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 43 | nan | 22.2682 | 72.2442 |
| No log | 2.0 | 86 | nan | 22.2682 | 72.2442 |
| No log | 3.0 | 129 | nan | 22.2682 | 72.2442 |
| No log | 4.0 | 172 | nan | 22.2682 | 72.2442 |
| No log | 5.0 | 215 | nan | 22.2682 | 72.2442 |
| No log | 6.0 | 258 | nan | 22.2682 | 72.2442 |
| No log | 7.0 | 301 | nan | 22.2682 | 72.2442 |
| No log | 8.0 | 344 | nan | 22.2682 | 72.2442 |
| No log | 9.0 | 387 | nan | 22.2682 | 72.2442 |
| No log | 10.0 | 430 | nan | 22.2682 | 72.2442 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.13.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
- Downloads last month
- 5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support