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Update README.md

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@@ -9,14 +9,16 @@ base_model: google-t5/t5-base
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  metrics:
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  - exact_match
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  model-index:
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- - name: juanfra218/text2sql
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- results:
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- - task:
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- type: text-to-sql
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- metrics:
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- - name: exact_match
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- type: exact_match
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- value: 0.4322
 
 
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  ---
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  # Fine-Tuned Google T5 Model for Text to SQL Translation
@@ -35,9 +37,23 @@ A fine-tuned version of the Google T5 model, trained for the task of translating
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  Currently working to implement PICARD (Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models) to improve the results of this model. More details can be found in the original [PICARD paper](https://arxiv.org/abs/2109.05093).
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- ## Results
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- Results are currently being evaluated and will be posted here soon.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Usage
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  metrics:
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  - exact_match
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  model-index:
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+ - name: juanfra218/text2sql
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+ results:
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+ - task:
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+ type: text-to-sql
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+ metrics:
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+ - name: exact_match
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+ type: exact_match
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+ value: 0.4322
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+ tags:
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+ - sql
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  ---
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  # Fine-Tuned Google T5 Model for Text to SQL Translation
 
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  Currently working to implement PICARD (Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models) to improve the results of this model. More details can be found in the original [PICARD paper](https://arxiv.org/abs/2109.05093).
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+ ## Training Parameters
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+ ```
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+ training_args = Seq2SeqTrainingArguments(
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+ output_dir="./results",
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+ evaluation_strategy="epoch",
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+ learning_rate=2e-5,
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+ per_device_train_batch_size=8,
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+ per_device_eval_batch_size=8,
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+ weight_decay=0.01,
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+ save_total_limit=3,
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+ num_train_epochs=3,
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+ predict_with_generate=True,
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+ fp16=True,
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+ push_to_hub=False,
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+ )
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+ ```
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  ## Usage
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