Update hyperparams.yaml

hyperparams.yaml

@@ -12,21 +12,11 @@ whisper_hub: openai/whisper-medium
 # the same normalization done in the paper. Refer to Appendix C for further information.
 normalized_transcripts: True
 
-
 language: hindi 
 
 auto_mix_prec: False
 sample_rate: 16000
 
-# These values are only used for the searchers.
-# They needs to be hardcoded and should not be changed with Whisper.
-# They are used as part of the searching process.
-# The bos token of the searcher will be timestamp_index
-# and will be concatenated with the bos, language and task tokens.
-timestamp_index: 50363
-eos_index: 50257
-bos_index: 50258
-
 # Decoding parameters
 min_decode_ratio: 0.0
 max_decode_ratio: 0.1
@@ -36,8 +26,6 @@ test_beam_size: 8
 freeze_whisper: True
 freeze_encoder: True
 
-
-
 whisper: !new:speechbrain.lobes.models.huggingface_transformers.whisper.Whisper
     source: !ref <whisper_hub>
     freeze: !ref <freeze_whisper>
@@ -46,26 +34,18 @@ whisper: !new:speechbrain.lobes.models.huggingface_transformers.whisper.Whisper
     encoder_only:  False
 
 
-
 decoder: !new:speechbrain.decoders.seq2seq.S2SWhisperGreedySearcher
     model: !ref <whisper>
-    bos_index: !ref <timestamp_index>
-    eos_index: !ref <eos_index>
     min_decode_ratio: !ref <min_decode_ratio>
     max_decode_ratio: !ref <max_decode_ratio>
 
 # test_beam_searcher: !new:speechbrain.decoders.seq2seq.S2SWhisperBeamSearcher
 #     module: [!ref <whisper>]
-#     bos_index: !ref <timestamp_index>
-#     eos_index: !ref <eos_index>
 #     min_decode_ratio: !ref <min_decode_ratio>
 #     max_decode_ratio: !ref <max_decode_ratio>
 #     beam_size: !ref <test_beam_size>
 
 
-
-
-
 modules:
     whisper: !ref <whisper>
     decoder:  !ref <decoder>