Refactor experiment/training/finetuning scripts with documentation

[cstorm125]

• Experiment scripts
• Finetuning scripts / notebooks
• Training MLM / finetuning MLM scripts / notebooks

[lalital]

[WIP]

2. Finetuning scripts

List of files to refactor

1. Multiclass and Multilabel Sequence Classification Finetuning scripts

Path: ./scripts/downstream/train_sequence_classification_lm_finetuning.py
Branch name: refactor/scripts/lm_finetune_for_seq_cls
Unittest: ./tests/test_finetuner_seq_cls.py

Todo:

• Move static variables (data type: Dict) out from the script

• Use default argument class instead of manually create arguments with ArgumentParaser

• Make the finetuner be able to access via thai2transformers module. (for example;

   from thai2transformer.finetuners import SequenceClassificationFinetuner
   seq_cls_finetuner = SequenceClassificationFInetuner( ... )
   # specify base model, tokenizer
   # specify target dataset
   # specify hyperparameters
  

2. Token Classification Finetuning scripts

Path: ./scripts/downstream/train_token_classificaition_lm_finetuning.py
Branch name: refactor/scripts/lm_finetune_for_token_cls

Todo:

• Make the finetuner be able to access via thai2transformers module.