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text2sql_t5large_tenjin_online
This model is a fine-tuned version of tscholak/1wnr382e on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 21.389
- Gen Len: 59.8256
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 | 21.389 | 59.8256 |
No log | 2.0 | 86 | nan | 21.389 | 59.8256 |
No log | 3.0 | 129 | nan | 21.389 | 59.8256 |
No log | 4.0 | 172 | nan | 21.389 | 59.8256 |
No log | 5.0 | 215 | nan | 21.389 | 59.8256 |
No log | 6.0 | 258 | nan | 21.389 | 59.8256 |
No log | 7.0 | 301 | nan | 21.389 | 59.8256 |
No log | 8.0 | 344 | nan | 21.389 | 59.8256 |
No log | 9.0 | 387 | nan | 21.389 | 59.8256 |
No log | 10.0 | 430 | nan | 21.389 | 59.8256 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3