upload best model
Browse files- .gitattributes +3 -0
- asr.ckpt +3 -0
- example.wav +0 -0
- hyperparams.yaml +115 -0
- normalizer.ckpt +3 -0
- tokenizer.ckpt +3 -0
.gitattributes
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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asr.ckpt filter=lfs diff=lfs merge=lfs -text
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normalizer.ckpt filter=lfs diff=lfs merge=lfs -text
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tokenizer.ckpt filter=lfs diff=lfs merge=lfs -text
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asr.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3662df3a5f9fece1a1e8af38af96a979d61f27678deebd32b060a65bf90020d5
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size 126717109
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example.wav
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Binary file (69 kB). View file
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hyperparams.yaml
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# ############################################################################
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# Model: E2E ASR with Transformer
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# Encoder: Transformer Encoder
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# Decoder: Transformer Decoder + (CTC/ATT joint) beamsearch
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# Tokens: BPE with unigram
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# losses: CTC + KLdiv (Label Smoothing loss)
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# Training: AISHELL-1
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# Authors: Jianyuan Zhong, Titouan Parcollet
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# ############################################################################
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# Feature parameters
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sample_rate: 16000
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n_fft: 400
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n_mels: 80
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####################### Model parameters ###########################
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# Transformer
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d_model: 256
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nhead: 4
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num_encoder_layers: 12
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num_decoder_layers: 6
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d_ffn: 2048
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transformer_dropout: 0.1
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activation: !name:torch.nn.GELU
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output_neurons: 5000
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vocab_size: 5000
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# Outputs
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blank_index: 0
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label_smoothing: 0.1
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pad_index: 0
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bos_index: 1
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eos_index: 2
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unk_index: 0
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# Decoding parameters
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min_decode_ratio: 0.0
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max_decode_ratio: 1.0 # 1.0
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valid_search_interval: 10
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valid_beam_size: 10
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test_beam_size: 10
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ctc_weight_decode: 0.40
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############################## models ################################
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compute_features: !new:speechbrain.lobes.features.Fbank
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sample_rate: !ref <sample_rate>
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n_fft: !ref <n_fft>
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n_mels: !ref <n_mels>
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normalize: !new:speechbrain.processing.features.InputNormalization
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norm_type: global
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CNN: !new:speechbrain.lobes.models.convolution.ConvolutionFrontEnd
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input_shape: (8, 10, 80)
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num_blocks: 2
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num_layers_per_block: 1
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out_channels: (256, 256)
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kernel_sizes: (3, 3)
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strides: (2, 2)
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residuals: (False, False)
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Transformer: !new:speechbrain.lobes.models.transformer.TransformerASR.TransformerASR # yamllint disable-line rule:line-length
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input_size: 5120
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tgt_vocab: !ref <output_neurons>
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d_model: !ref <d_model>
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nhead: !ref <nhead>
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num_encoder_layers: !ref <num_encoder_layers>
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num_decoder_layers: !ref <num_decoder_layers>
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d_ffn: !ref <d_ffn>
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dropout: !ref <transformer_dropout>
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activation: !ref <activation>
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normalize_before: True
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ctc_lin: !new:speechbrain.nnet.linear.Linear
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input_size: !ref <d_model>
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n_neurons: !ref <output_neurons>
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seq_lin: !new:speechbrain.nnet.linear.Linear
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input_size: !ref <d_model>
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n_neurons: !ref <output_neurons>
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tokenizer: !new:sentencepiece.SentencePieceProcessor
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asr_model: !new:torch.nn.ModuleList
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- [!ref <CNN>, !ref <Transformer>, !ref <seq_lin>, !ref <ctc_lin>]
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modules:
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compute_features: !ref <compute_features>
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pre_transformer: !ref <CNN>
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transformer: !ref <Transformer>
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asr_model: !ref <asr_model>
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normalize: !ref <normalize>
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beam_searcher: !ref <beam_searcher>
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beam_searcher: !new:speechbrain.decoders.S2STransformerBeamSearch
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modules: [!ref <Transformer>, !ref <seq_lin>, !ref <ctc_lin>]
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bos_index: !ref <bos_index>
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eos_index: !ref <eos_index>
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blank_index: !ref <blank_index>
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min_decode_ratio: !ref <min_decode_ratio>
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max_decode_ratio: !ref <max_decode_ratio>
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beam_size: !ref <test_beam_size>
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ctc_weight: !ref <ctc_weight_decode>
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using_eos_threshold: False
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length_normalization: True
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log_softmax: !new:torch.nn.LogSoftmax
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dim: -1
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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asr: !ref <asr_model>
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tokenizer: !ref <tokenizer>
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normalizer.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c976b63ddbb42868e8ec2dc6f68771a4f9f4c9ad4f93011b4b0cec0df74c3d3e
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size 1793
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tokenizer.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f0478ccc6dac61ce0e6149a84e531ff7d300b133d5717cc9d531b00837ac444
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size 300111
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