Better command syntax documentation.

README.md

@@ -124,13 +124,19 @@ A prerequisite to performing back-translation is to train two translation models
 For English -> Vietnamese
 
 ```
-python t2t_datagen.py --data_dir=data/translate_envi_iwslt32k --tmp_dir=tmp/ --problem=translate_envi_iwslt32k
+python t2t_datagen.py \
+--data_dir=data/translate_envi_iwslt32k \
+--tmp_dir=tmp/ \
+--problem=translate_envi_iwslt32k
 ```
 
 For Vietnamese -> English
 
 ```
-python t2t_datagen.py --data_dir=data/translate_vien_iwslt32k --tmp_dir=tmp/ --problem=translate_vien_iwslt32k
+python t2t_datagen.py \
+--data_dir=data/translate_vien_iwslt32k \
+--tmp_dir=tmp/ \
+--problem=translate_vien_iwslt32k
 ```
 
 #### Train
@@ -140,13 +146,23 @@ Some examples to train your translation models with the Transformer architecture
 For English -> Vietnamese
 
 ```
-python t2t_trainer.py --data_dir=path/to/tfrecords --problem=translate_envi_iwslt32k --hparams_set=transformer_base --model=transformer --output_dir=path/to/ckpt/dir
+python t2t_trainer.py \
+--data_dir=data/translate_envi_iwslt32k \
+--problem=translate_envi_iwslt32k \
+--hparams_set=transformer_tiny \
+--model=transformer \
+--output_dir=checkpoints/envi
 ```
 
 For Vietnamese -> English
 
 ```
-python t2t_trainer.py --data_dir=path/to/tfrecords --problem=translate_vien_iwslt32k --hparams_set=transformer_base --model=transformer --output_dir=path/to/ckpt/dir
+python t2t_trainer.py \
+--data_dir=data/translate_vien_iwslt32k \
+--problem=translate_vien_iwslt32k \
+--hparams_set=transformer_tiny \
+--model=transformer \
+--output_dir=checkpoints/vien
 ```
 
 #### Analyse the trained models
@@ -160,7 +176,16 @@ We have trained two translation models (`vien` and `envi`) using the `tiny` sett
 Here is an example of back translating Vietnamese -> English -> Vietnamese from an input text file.
 
 ```
-python back_translate.py --decode_hparams="beam_size=4,alpha=0.6" --paraphrase_from_file=test_input.vi --paraphrase_to_file=test_output.vi --model=transformer --hparams_set=transformer_tiny
+python back_translate.py \
+--decode_hparams="beam_size=4,alpha=0.6" \
+--paraphrase_from_file=test_input.vi \
+--paraphrase_to_file=test_output.vi \
+--model=transformer \
+--hparams_set=transformer_tiny \
+--from_ckpt=checkpoints/vien \
+--to_ckpt=checkpoints/envi \
+--from_data_dir=data/translate_vien_iwslt32k \
+--to_data_dir=data/translate_envi_iwslt32k
 ```
 
 Add `--backtraslate_interactively` to back-translate interactively from your terminal. Alternatively, you can also check out [this Colab](https://colab.research.google.com/github/vietai/dab/blob/master/colabs/Interactive_Back_Translation.ipynb).