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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: SQL_Kaggle |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SQL_Kaggle |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0548 |
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- Bleu: 43.7723 |
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- Gen Len: 18.9204 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- gradient_accumulation_steps: 20 |
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- total_train_batch_size: 240 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.3225 | 0.12 | 100 | 0.1124 | 42.6318 | 18.9124 | |
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| 0.1451 | 0.23 | 200 | 0.0851 | 43.0481 | 18.9202 | |
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| 0.1218 | 0.35 | 300 | 0.0733 | 43.4809 | 18.9254 | |
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| 0.1062 | 0.46 | 400 | 0.0670 | 43.4753 | 18.9186 | |
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| 0.0978 | 0.58 | 500 | 0.0621 | 43.59 | 18.9205 | |
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| 0.0901 | 0.69 | 600 | 0.0587 | 43.68 | 18.9214 | |
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| 0.0859 | 0.81 | 700 | 0.0565 | 43.7207 | 18.9206 | |
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| 0.0824 | 0.93 | 800 | 0.0548 | 43.7723 | 18.9204 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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