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--- |
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base_model: google-t5/t5-small |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ft-t5-small-on-airlineDB |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhuangc19/cs5740-sp24-assignment-4-Marcozc19/runs/gcggsyfe) |
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# ft-t5-small-on-airlineDB |
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This model is a fine-tuned version of [google t5-small](https://huggingface.co/google t5-small) on the custom airlineDB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0992 |
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- Sql Em: 0.0815 |
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- Record Em: 0.1996 |
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- Record F1: 0.1996 |
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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: 0.001 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sql Em | Record Em | Record F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:---------:| |
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| 0.1751 | 1.0 | 1057 | 0.0992 | 0.0815 | 0.1996 | 0.1996 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
