Upload 5 files
Browse files- CKPT.yaml +4 -0
- asr.ckpt +3 -0
- hyperparams.yaml +106 -0
- tokenizer.ckpt +3 -0
- wav2vec2.ckpt +3 -0
CKPT.yaml
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# yamllint disable
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WER: 9.144518370578712
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end-of-epoch: true
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unixtime: 1704724524.2550542
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asr.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bd8be2497e3b9c319caac49dcbd5bdcc3c6645e809449b424e20449899d8624
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size 12962848
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hyperparams.yaml
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# ################################
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# Model: wav2vec2-FR-7K-large + DNN + CTC
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# ################################
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#
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# BPE parameters
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token_type: char # ["unigram", "bpe", "char"]
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character_coverage: 1.0
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# Model parameters
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# activation: !name:torch.nn.LeakyReLU
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wav2vec_output_dim: 1024
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dnn_neurons: 1024
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freeze_wav2vec: false
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wav2vec2_hub: LeBenchmark/wav2vec2-FR-7K-large
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# Outputs
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output_neurons: 76 # BPE size, index(blank/eos/bos) = 0
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# Decoding parameters
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# Be sure that the bos and eos index match with the BPEs ones
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blank_index: 0
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bos_index: 1
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eos_index: 2
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#
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# Functions and classes
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#
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# Encoder network
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enc: &id002 !new:speechbrain.nnet.containers.Sequential
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input_shape: [null, null, 1024]
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linear1: !name:speechbrain.nnet.linear.Linear
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n_neurons: 1024
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bias: true
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bn1: !name:speechbrain.nnet.normalization.BatchNorm1d
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activation: !new:torch.nn.LeakyReLU
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drop: !new:torch.nn.Dropout
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p: 0.15
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linear2: !name:speechbrain.nnet.linear.Linear
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n_neurons: 1024
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bias: true
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bn2: !name:speechbrain.nnet.normalization.BatchNorm1d
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activation2: !new:torch.nn.LeakyReLU
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drop2: !new:torch.nn.Dropout
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p: 0.15
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linear3: !name:speechbrain.nnet.linear.Linear
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n_neurons: 1024
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bias: true
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bn3: !name:speechbrain.nnet.normalization.BatchNorm1d
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activation3: !new:torch.nn.LeakyReLU
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wav2vec2: &id001 !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
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source: !ref <wav2vec2_hub>
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output_norm: true
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freeze: false
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save_path: model.pt
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ctc_lin: &id003 !new:speechbrain.nnet.linear.Linear
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input_size: 1024
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n_neurons: 76
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log_softmax: !new:speechbrain.nnet.activations.Softmax
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apply_log: true
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ctc_cost: !name:speechbrain.nnet.losses.ctc_loss
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blank_index: 0
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modules:
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wav2vec2: *id001
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enc: *id002
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ctc_lin: *id003
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model: &id004 !new:torch.nn.ModuleList
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- [*id002, *id003]
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model_opt_class: !name:torch.optim.Adadelta
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lr: 1.0
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rho: 0.95
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eps: 1.e-8
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wav2vec_opt_class: !name:torch.optim.Adam
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lr: 0.0001
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tokenizer: !new:sentencepiece.SentencePieceProcessor
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encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
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wav2vec2: !ref <wav2vec2>
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enc: !ref <enc>
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ctc_lin: !ref <ctc_lin>
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log_softmax: !ref <log_softmax>
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decoding_function: !name:speechbrain.decoders.ctc_greedy_decode
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blank_id: !ref <blank_index>
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decoding_type: greedy
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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wav2vec2: !ref <wav2vec2>
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asr: !ref <asr_model>
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tokenizer: !ref <tokenizer>
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modules:
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wav2vec2: *id001
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enc: *id002
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ctc_lin: *id003
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encoder: !ref <encoder>
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tokenizer.ckpt
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:599eb2261ca14e52110759b91e0b8480fdcceefc3d26c6bcf530eb5de84ac77b
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size 238653
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wav2vec2.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:45e1967744f2325900a746ebe25c7e9503c8626c15964c530aceba0e3ed61de0
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size 1261923125
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