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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_Tuning_runpod |
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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_Tuning_runpod |
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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: 0.0452 |
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- Bleu: 44.1094 |
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- Gen Len: 18.9135 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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| 0.2746 | 0.08 | 1000 | 0.1082 | 42.9089 | 18.9275 | |
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| 0.1472 | 0.15 | 2000 | 0.0852 | 43.3232 | 18.9021 | |
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| 0.1233 | 0.23 | 3000 | 0.0736 | 43.5297 | 18.915 | |
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| 0.1121 | 0.31 | 4000 | 0.0662 | 43.6957 | 18.9164 | |
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| 0.1 | 0.39 | 5000 | 0.0611 | 43.8882 | 18.9131 | |
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| 0.092 | 0.46 | 6000 | 0.0576 | 43.9239 | 18.9136 | |
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| 0.0874 | 0.54 | 7000 | 0.0531 | 43.8973 | 18.9138 | |
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| 0.0824 | 0.62 | 8000 | 0.0515 | 43.9284 | 18.911 | |
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| 0.0788 | 0.69 | 9000 | 0.0495 | 43.9772 | 18.9131 | |
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| 0.0765 | 0.77 | 10000 | 0.0472 | 44.057 | 18.9152 | |
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| 0.0723 | 0.85 | 11000 | 0.0463 | 44.0788 | 18.915 | |
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| 0.0708 | 0.93 | 12000 | 0.0452 | 44.1094 | 18.9135 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.1.0.dev20230322+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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