| | --- |
| | dataset_info: |
| | features: |
| | - name: model_type |
| | dtype: string |
| | - name: namespace |
| | dtype: string |
| | - name: model_name |
| | dtype: string |
| | - name: training_method |
| | dtype: string |
| | - name: model_size |
| | dtype: int64 |
| | - name: trainable_params |
| | dtype: int64 |
| | - name: url |
| | dtype: string |
| | - name: doi |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 6257 |
| | num_examples: 40 |
| | download_size: 4879 |
| | dataset_size: 6257 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | pretty_name: PEFT Unit Test Generation Experiments |
| | size_categories: |
| | - n<1K |
| | --- |
| | # PEFT Unit Test Generation Experiments |
| |
|
| | ## Dataset description |
| |
|
| | The **PEFT Unit Test Generation Experiments** dataset contains metadata and details about a set of trained models used for generating unit tests with parameter-efficient fine-tuning (PEFT) methods. This dataset includes models from multiple namespaces and various sizes, trained with different tuning methods to provide a comprehensive resource for unit test generation research. |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Fields |
| |
|
| | Each example in the dataset corresponds to a specific trained model variant and includes the following features: |
| |
|
| | | Feature Name | Description | |
| | |-------------------|-----------------------------------------------------------------------------------------------------| |
| | | `model_type` | The type or architecture of the base model (e.g., codegen, starcoder). | |
| | | `namespace` | The organization or group that created or published the base model (e.g., Salesforce, meta-llama). | |
| | | `model_name` | The specific name or identifier of the model. | |
| | | `training_method` | The parameter-efficient fine-tuning method used for training (e.g., full fine-tuning, LoRA, IA³). | |
| | | `model_size` | The size of the model, typically measured in number of parameters (e.g., 350M, 7B). | |
| | | `trainable_params`| The number of trainable parameters for the specific tuning method and [hyperparameters](#training-hyperparameters). | |
| | | `url` | A direct link to the model repository. | |
| | | `doi` | The digital object identifier associated with the trained model. | |
| |
|
| | ## Dataset Details |
| |
|
| | ### Dataset Description |
| |
|
| | <!-- Provide a longer summary of what this dataset is. --> |
| |
|
| | ### Training Hyperparameters |
| |
|
| | #### Model-agnostic Hyperparameters |
| | <table> |
| | <thead> |
| | <tr> |
| | <th>Hyperparameter</th> |
| | <th>Method</th> |
| | <th>Value</th> |
| | </tr> |
| | </thead> |
| | <tbody> |
| | <tr style="font-weight: bold;"> |
| | <td colspan="3">Common</td> |
| | </tr> |
| | <tr> |
| | <td>Optimizer</td> |
| | <td>-</td> |
| | <td>AdamW</td> |
| | </tr> |
| | <tr> |
| | <td>LR schedule</td> |
| | <td>-</td> |
| | <td>Linear</td> |
| | </tr> |
| | <tr> |
| | <td>LR warmup ratio</td> |
| | <td>-</td> |
| | <td>0.1</td> |
| | </tr> |
| | <tr> |
| | <td>Batch size</td> |
| | <td>-</td> |
| | <td>1</td> |
| | </tr> |
| | <tr> |
| | <td>Gradient accumulation steps</td> |
| | <td>-</td> |
| | <td>8</td> |
| | </tr> |
| | <tr> |
| | <td># Epochs</td> |
| | <td>-</td> |
| | <td>3</td> |
| | </tr> |
| | <tr> |
| | <td>Precision</td> |
| | <td>-</td> |
| | <td>Mixed</td> |
| | </tr> |
| | <tr> |
| | <td style="vertical-align: middle;" rowspan="4">Learning rate</td> |
| | <td>Full fine-tuning</td> |
| | <td>5E-5</td> |
| | </tr> |
| | <tr> |
| | <td>LoRA</td> |
| | <td>3E-4</td> |
| | </tr> |
| | <tr> |
| | <td>(IA)<sup>3</sup></td> |
| | <td>3E-4</td> |
| | </tr> |
| | <tr> |
| | <td>Prompt tuning</td> |
| | <td>3E-3</td> |
| | </tr> |
| | <tr style="font-weight: bold;"> |
| | <td colspan="3">Method specific</td> |
| | </tr> |
| | <tr> |
| | <td>Alpha</td> |
| | <td>LoRA</td> |
| | <td>32</td> |
| | </tr> |
| | <tr> |
| | <td>Dropout</td> |
| | <td>LoRA</td> |
| | <td>0.1</td> |
| | </tr> |
| | <tr> |
| | <td>Rank</td> |
| | <td>LoRA</td> |
| | <td>16</td> |
| | </tr> |
| | <tr> |
| | <td>Virtual tokens</td> |
| | <td>Prompt tuning</td> |
| | <td>20</td> |
| | </tr> |
| | </tbody> |
| | </table> |
| | |
| | #### Model-specific Hyperparameters |
| | <table> |
| | <thead> |
| | <tr> |
| | <th>Hyperparameter</th> |
| | <th>Method</th> |
| | <th>Model</th> |
| | <th>Value</th> |
| | </tr> |
| | </thead> |
| | <tbody> |
| | <tr> |
| | <td rowspan="10" style="vertical-align: middle;">Targeted attention modules</td> |
| | <td rowspan="10" style="vertical-align: middle;">LoRA, (IA)<sup>3</sup></td> |
| | <td>codegen-350M-multi</td> |
| | <td>qkv_proj</td> |
| | </tr> |
| | <tr><td>Salesforce/codegen2-1B_P</td><td>qkv_proj</td></tr> |
| | <tr><td>Salesforce/codegen2-3_7B_P</td><td>qkv_proj</td></tr> |
| | <tr><td>Salesforce/codegen2-7B_P</td><td>qkv_proj</td></tr> |
| | <tr><td>Salesforce/codegen2-16B_P</td><td>qkv_proj</td></tr> |
| | <tr><td>meta-llama/CodeLlama-7b-hf</td><td>q_proj, v_proj</td></tr> |
| | <tr><td>bigcode/starcoderbase</td><td>c_attn</td></tr> |
| | <tr><td>bigcode/starcoder2-3b</td><td>q_proj, v_proj</td></tr> |
| | <tr><td>bigcode/starcoder2-7b</td><td>q_proj, v_proj</td></tr> |
| | <tr><td>bigcode/starcoder2-15b</td><td>q_proj, v_proj</td></tr> |
| | <tr> |
| | <td rowspan="10" style="vertical-align: middle;">Targeted feedforward modules</td> |
| | <td rowspan="10" style="vertical-align: middle;">(IA)<sup>3</sup></td> |
| | <td>codegen-350M-multi</td> |
| | <td>fc_out</td> |
| | </tr> |
| | <tr><td>Salesforce/codegen2-1B_P</td><td>fc_out</td></tr> |
| | <tr><td>Salesforce/codegen2-3_7B_P</td><td>fc_out</td></tr> |
| | <tr><td>Salesforce/codegen2-7B_P</td><td>fc_out</td></tr> |
| | <tr><td>Salesforce/codegen2-16B_P</td><td>fc_out</td></tr> |
| | <tr><td>meta-llama/CodeLlama-7b-hf</td><td>down_proj</td></tr> |
| | <tr><td>bigcode/starcoderbase</td><td>mlp.c_proj</td></tr> |
| | <tr><td>bigcode/starcoder2-3b</td><td>q_proj, c_proj</td></tr> |
| | <tr><td>bigcode/starcoder2-7b</td><td>q_proj, c_proj</td></tr> |
| | <tr><td>bigcode/starcoder2-15b</td><td>q_proj, c_proj</td></tr> |
| | </tbody> |
| | </table> |
| | |
| |
|
| | ## Training Runs |
| |
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