@@ -71,8 +71,12 @@ The mode (fine-tuning == 'f' or testing == 't') and the input file are given to
The files should be comma separated with at least two columns **Label** and **Sentence**. Fine-tuning requires two input files for tuning and validation. One is provided by command line and the other one has to be exactly the same name in the same directory only with val instaed of train e.g. `file_train.csv` and `file_val.csv`.
Examples:
- fineBert.py f file_train.csv
- fineBert.py t file_test.csv
```
fineBert.py f file_train.csv
```
```
fineBert.py t file_test.csv
```
### Results
The resulting model of the fine-tuning process is stored in a directory named after the input file, batch size and learning rate. We output numpy arrays with true labels and predictions which are saved in the working directory. For better clarity we moved them in the results directory.
