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cd4ca78
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Delete bvcc+nisqa+pstn+singmos+somos+tencent+tmhint-qi_sslmos+mdf_2337

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bvcc+nisqa+pstn+singmos+somos+tencent+tmhint-qi_sslmos+mdf_2337/checkpoint-86000steps.pkl DELETED
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:8a2e1360ada921c3c70b495c8a96a0c8e305fb9ebc06245fd9132880db4bd762
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- size 741416302
 
 
 
 
bvcc+nisqa+pstn+singmos+somos+tencent+tmhint-qi_sslmos+mdf_2337/config.yml DELETED
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- additional_config: conf/ssl-mos-wav2vec2-mdf.yaml
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- allow_cache: false
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- best_model_criterion:
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- key: utt_SRCC
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- order: highest
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- collater_type: NonIntrusiveCollater
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- config: exp/ssl-mos-wav2vec2-mdf-2337/original_config.yml
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- dataset_type: NonIntrusiveDataset
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- dev_csv_path: data/dev.csv
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- dev_samples_per_eval_loop: 1000
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- distributed: false
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- eval_and_save_interval_steps: 1000
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- freeze-mods: null
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- grad_norm: 1.0
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- inference_mode: mean_net
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- init-mods:
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- - ssl_model
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- - mean_net_dnn
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- init_checkpoint: exp/ssl-mos-wav2vec2-mdf-2337/original_checkpoint-11100steps.pkl
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- keep_nbest_models: 5
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- listener_score_criterion_type: null
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- listener_score_criterions: null
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- log_interval_steps: 100
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- mean_score_criterion_params:
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- masked_loss: false
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- tau: 0.5
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- mean_score_criterion_type: ScalarLoss
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- mean_score_criterion_weight: 1.0
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- mean_score_criterions:
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- - criterion_params:
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- masked_loss: false
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- order: 1
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- tau: 0.5
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- criterion_type: ScalarLoss
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- criterion_weight: 1.0
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- model_input: waveform
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- model_params:
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- mean_net_dnn_dim: 64
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- mean_net_output_type: scalar
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- mean_net_range_clipping: true
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- s3prl_name: wav2vec2
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- ssl_model_layer_idx: -1
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- ssl_model_output_dim: 768
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- ssl_module: s3prl
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- use_listener_modeling: false
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- use_mean_listener: false
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- model_type: SSLMOS
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- num_domains: 7
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- num_workers: 0
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- optimizer_params:
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- lr: 0.001
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- momentum: 0.9
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- optimizer_type: SGD
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- outdir: exp/ssl-mos-wav2vec2-mdf-2337
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- padding_mode: repetitive
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- patience: 20
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- pin_memory: true
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- rank: 0
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- resume: ''
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- sampling_rate: 16000
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- scheduler_type: null
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- seed: 2337
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- test_batch_size: 1
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- train_batch_size: 16
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- train_csv_path: data/train.csv
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- train_max_steps: 100000
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- trainer_type: NonIntrusiveEstimatorTrainer
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- verbose: 1
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- version: 0.1.0
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- wav_only: true