Tahir Dar
I trained a model on NER using `training_example.py`. The below code in the script didn't save params json. ```print('Saving the model...') model.save(args.weights_file, args.params_file, args.preprocessor_file) p.save(args.preprocessor_file)```
Can we train `EasyNMT` on our own custom datasets. If yes please tell us the process.
Transformers: `4.41.2` trl: `0.9.4` torch: `Version: 2.3.0+cu121` I am training a simple translation model using DPO Trainer and the code is below: ``` from datasets import Dataset from transformers import...