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hubert-large-arabic-transcribe

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hubert-large-arabic-transcribe / hyperparams.yaml

Ali Safaya

December 22 update

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	sample_rate: 16000

	# BPE parameters
	token_type: unigram # ["unigram", "bpe", "char"]
	character_coverage: 1.0

	# Model parameters
	activation: !name:torch.nn.GELU
	wav2vec_output_dim: 1024
	dnn_neurons: 1024
	freeze_wav2vec: false
	dropout: 0.2

	# Outputs
	output_neurons: 80 # BPE size, index(blank/eos/bos) = 0
	tokenizer: !new:sentencepiece.SentencePieceProcessor

	# Decoding parameters
	# Be sure that the bos and eos index match with the BPEs ones
	blank_index: 0
	bos_index: 1
	eos_index: 2

	enc: &id002 !new:speechbrain.nnet.containers.Sequential
	input_shape: [null, null, 1024]
	linear1: !name:speechbrain.nnet.linear.Linear
	n_neurons: 1024
	bias: true
	bn1: !name:speechbrain.nnet.normalization.BatchNorm1d
	activation: !new:torch.nn.GELU
	drop: !new:torch.nn.Dropout
	p: 0.2
	linear2: !name:speechbrain.nnet.linear.Linear
	n_neurons: 1024
	bias: true
	bn2: !name:speechbrain.nnet.normalization.BatchNorm1d
	activation2: !new:torch.nn.GELU
	drop2: !new:torch.nn.Dropout
	p: 0.2
	linear3: !name:speechbrain.nnet.linear.Linear
	n_neurons: 1024
	bias: true
	bn3: !name:speechbrain.nnet.normalization.BatchNorm1d
	activation3: !new:torch.nn.GELU

	wav2vec2: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
	source: asafaya/hubert-large-arabic-transcribe
	output_norm: true
	freeze: false
	save_path: wav2vec2_checkpoint

	ctc_lin: !new:speechbrain.nnet.linear.Linear
	input_size: 1024
	n_neurons: 80

	log_softmax: !new:speechbrain.nnet.activations.Softmax
	apply_log: true

	ctc_cost: !name:speechbrain.nnet.losses.ctc_loss
	blank_index: 0

	modules:
	encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
	wav2vec2: !ref <wav2vec2>
	enc: !ref <enc>
	ctc_lin: !ref <ctc_lin>

	model: !new:torch.nn.ModuleList
	- [!ref <enc>, !ref <ctc_lin>]

	error_rate_computer: !name:speechbrain.utils.metric_stats.ErrorRateStats
	cer_computer: !name:speechbrain.utils.metric_stats.ErrorRateStats
	split_tokens: true

	decoding_function: !name:speechbrain.decoders.ctc.ctc_greedy_decode
	blank_id: !ref <blank_index>

	pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
	loadables:
	wav2vec2: !ref <wav2vec2>
	model: !ref <model>
	tokenizer: !ref <tokenizer>