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updated readme to reflect current state of the project #6

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16 changes: 10 additions & 6 deletions README.md
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Expand Up @@ -20,29 +20,33 @@ and [java](https://github.com/tree-sitter/tree-sitter-java).
`prepare_data.sh`.
2. Concatenate the vectors created in the previous step to the original sequence, resulting in the
data that is used for training, by running `preprocess_data.sh`.
3. Finally, run `finetuneT5[unique].sh` to start training the model. This step uses the instructions as
3. Finally, run `run.sh` (found in CodeT5/sh) to start training the model. This step uses the instructions as
described by codeXGLUE.

## Results

Java to C#:
| Method | BLEU | Acc (100%) | [CodeBLEU](https://github.com/microsoft/CodeXGLUE/blob/main/Code-Code/code-to-code-trans/CodeBLEU.MD) |
| ---------- | :--------: | :-------: | :-------: |
| Naive copy | 18.54 | 0.0 | - |
| PBSMT | 43.53 | 12.5 | 42.71 |
| Transformer | 55.84 | 33.0 | 63.74 |
| Roborta (code) | 77.46 | 56.1 | 83.07 |
| CodeBERT | **79.92** | **59.0** | **85.10** |
| CodeBERT + T5 | | | |
| CodeBERT + T5Unique | | | |
| Baseline | 12.44 | 0 | - |
| CodeBERT + T5 | 0 | 0 | - |
| CodeBERT + T5Unique | 0 | 0 | - |

C# to Java:

C# to Java:
| Method | BLEU | Acc (100%) | [CodeBLEU](https://github.com/microsoft/CodeXGLUE/blob/main/Code-Code/code-to-code-trans/CodeBLEU.MD) |
| ---------- | :--------: | :-------: | :-------: |
| Naive copy | 18.69 | 0.0 | - |
| PBSMT | 40.06 | 16.1 | 43.48 |
| Transformer | 50.47 | 37.9 | 61.59 |
| Roborta (code) | 71.99 | 57.9 | **80.18** |
| CodeBERT | **72.14** | **58.0** | 79.41 |
| CodeBERT + T5 | | | |
| CodeBERT + T5Unique | | | |
| Baseline | 12.14 | 4.41 | - |
| CodeBERT + T5 | 0 | 0.4 | - |
| CodeBERT + T5Unique | 0 | 1.4 | - |