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Update README.md: add a missing option and fix a typo #7

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Update README.md: add a missing option and fix a typo #7

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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -46,6 +46,7 @@ Memory Breakdown: ASR - Whisper Large ~3GB, LLM - Breeze/Mistral ~14GB
To run the script, the following three arguments are required:
- `--model_name`: This argument specifies which type of model to use. There are two options:
+ `gfd`: The generative fusion decoding method.
+ `whisper`: The huggingface whisper generation method.
- `--setting`: The argument specifies the configuration setting for the model. The available settings depend on the `model_name`:
+ `asr-zhtw`: The complete version of our method's configuration for testing on a Traditional Chinese sample.
+ `asr-zhtw-lmoff`: Uses our custom beam search method on the ASR model, neglecting the output from the LLM (fusing_r = 0) for a Traditional Chinese sample.
Expand Down Expand Up @@ -76,7 +77,7 @@ To run the benchmark dataset, the following four arguments are required:
For **gfd**:
+ `asr-zhtw`: The complete version of our method's configuration for testing on the Traditional Chinese dataset.
+ `asr-zhtw-lmoff`: Uses our custom beam search method on the ASR model, neglecting the output from the LLM (fusing_r = 0) for Traditional Chinese dataset.
+ `asr-en`: he complete version of our method's configuration for testing on the English dataset.
+ `asr-en`: The complete version of our method's configuration for testing on the English dataset.
+ `asr-en-lmoff`: Uses our custom beam search method on the ASR model, neglecting the output from the LLM (fusing_r = 0) for the English dataset.

For **whisper**:
Expand Down