End of training
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- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
README.md
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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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metrics:
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- accuracy
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tags:
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- generated_from_trainer
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model-index:
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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/
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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.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.
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### Framework versions
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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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<!-- 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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### 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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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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],
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"task_type": "SEQ_2_SEQ_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v",
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"q",
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"k"
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],
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"task_type": "SEQ_2_SEQ_LM",
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"use_dora": false,
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adapter_model.safetensors
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