Marcoz commited on
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9211e7f
1 Parent(s): f14a462

End of training

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Files changed (3) hide show
  1. README.md +8 -8
  2. adapter_config.json +3 -3
  3. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -1,8 +1,6 @@
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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:
@@ -13,13 +11,15 @@ 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/qpe1e9fe)
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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: 0.1025
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- - Accuracy: 0.0064
 
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1773 | 1.0 | 1057 | 0.1025 | 0.0064 |
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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
adapter_config.json CHANGED
@@ -20,10 +20,10 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "k",
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- "o",
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  "q",
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- "v"
 
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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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+ "o",
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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,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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