Update README.md
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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+
pretty_name: PEFT Unit Test Generation Experiments
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+
size_categories:
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- n<1K
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---
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+
# Dataset Card for Dataset Name
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+
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+
<!-- Provide a quick summary of the dataset. -->
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+
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+
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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## Dataset Details
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### Dataset Description
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+
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<!-- Provide a longer summary of what this dataset is. -->
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### Training Hyperparameters
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#### Model-agnostic Hyperparameters
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+
<table>
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<thead>
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<tr>
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<th>Hyperparameter</th>
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<th>Method</th>
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<th>Value</th>
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</tr>
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</thead>
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<tbody>
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<tr style="font-weight: bold;">
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<td colspan="3">Common</td>
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</tr>
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<tr>
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<td>Optimizer</td>
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<td>-</td>
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<td>AdamW</td>
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</tr>
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<tr>
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<td>LR schedule</td>
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<td>-</td>
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<td>Linear</td>
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</tr>
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<tr>
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<td>LR warmup ratio</td>
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<td>-</td>
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<td>0.1</td>
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</tr>
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<tr>
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<td>Batch size</td>
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<td>-</td>
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<td>1</td>
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</tr>
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<tr>
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<td>Gradient accumulation steps</td>
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<td>-</td>
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<td>8</td>
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</tr>
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<tr>
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<td># Epochs</td>
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<td>-</td>
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<td>3</td>
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</tr>
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<tr>
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<td>Precision</td>
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<td>-</td>
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<td>Mixed</td>
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</tr>
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<tr>
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<td style="vertical-align: middle;" rowspan="4">Learning rate</td>
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<td>Full fine-tuning</td>
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<td>5E-5</td>
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</tr>
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<tr>
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<td>LoRA</td>
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<td>3E-4</td>
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</tr>
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<tr>
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<td>(IA)<sup>3</sup></td>
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<td>3E-4</td>
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</tr>
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<tr>
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<td>Prompt tuning</td>
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<td>3E-3</td>
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</tr>
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<tr style="font-weight: bold;">
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<td colspan="3">Method specific</td>
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</tr>
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<tr>
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<td>Alpha</td>
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<td>LoRA</td>
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<td>32</td>
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</tr>
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<tr>
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<td>Dropout</td>
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<td>LoRA</td>
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<td>0.1</td>
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</tr>
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<tr>
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<td>Rank</td>
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<td>LoRA</td>
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<td>16</td>
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</tr>
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<tr>
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<td>Virtual tokens</td>
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<td>Prompt tuning</td>
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<td>20</td>
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</tr>
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</tbody>
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</table>
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#### Model-specific Hyperparameters
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<table >
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<thead>
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<tr>
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<th>Hyperparameter</th>
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<th>Method</th>
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<th>Model</th>
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<th>Value</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td style="vertical-align: middle;">Targeted attention modules</td>
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<td style="vertical-align: middle;">LoRA, (IA)<sup>3</sup></td>
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<td>
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codegen-350M-multi<br>
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Salesforce/codegen2-1B_P<br>
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Salesforce/codegen2-3_7B_P<br>
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Salesforce/codegen2-7B_P<br>
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Salesforce/codegen2-16B_P<br>
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meta-llama/CodeLlama-7b-hf<br>
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bigcode/starcoderbase<br>
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bigcode/starcoder2-3b<br>
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bigcode/starcoder2-7b<br>
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bigcode/starcoder2-15b
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</td>
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<td>
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qkv_proj<br>
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qkv_proj<br>
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qkv_proj<br>
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qkv_proj<br>
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qkv_proj<br>
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q_proj, v_proj<br>
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c_attn<br>
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q_proj, v_proj<br>
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q_proj, v_proj<br>
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q_proj, v_proj
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</td>
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</tr>
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<tr>
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<td style="vertical-align: middle;">Targeted feedforward modules</td>
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<td style="vertical-align: middle;">(IA)<sup>3</sup></td>
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<td>
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codegen-350M-multi<br>
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Salesforce/codegen2-1B_P<br>
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Salesforce/codegen2-3_7B_P<br>
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Salesforce/codegen2-7B_P<br>
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Salesforce/codegen2-16B_P<br>
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meta-llama/CodeLlama-7b-hf<br>
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bigcode/starcoderbase<br>
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bigcode/starcoder2-3b<br>
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bigcode/starcoder2-7b<br>
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bigcode/starcoder2-15b
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</td>
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<td>
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fc_out<br>
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fc_out<br>
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fc_out<br>
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fc_out<br>
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fc_out<br>
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down_proj<br>
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mlp.c_proj<br>
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q_proj, c_proj<br>
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q_proj, c_proj<br>
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q_proj, c_proj
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</td>
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</tr>
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</tbody>
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</table>
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