/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
2023-10-14 22:17:49 | INFO | s3prl.upstream.hubert.hubconf | Converting a fairseq checkpoint: /home/tony/Data/MERT/hubert_d2v2_200k.pt
2023-10-14 22:17:49 | INFO | s3prl.upstream.hubert.hubconf | To: /home/tony/Data/MERT/hubert_d2v2_200k.converted.pt
2023-10-14 22:17:56 | INFO | fairseq.models.hubert.hubert | HubertModel Config: HubertConfig(_name='hubert', label_rate=50.0, extractor_mode='default', encoder_layers=12, encoder_embed_dim=768, encoder_ffn_embed_dim=3072, encoder_attention_heads=12, activation_fn='gelu', layer_type='transformer', dropout=0.1, attention_dropout=0.1, activation_dropout=0.0, encoder_layerdrop=0.05, dropout_input=0.1, dropout_features=0.1, final_dim=256, untie_final_proj=True, layer_norm_first=False, conv_feature_layers='[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 3', conv_bias=False, logit_temp=0.1, target_glu=False, feature_grad_mult=0.1, mask_length=10, mask_prob=0.8, mask_selection='static', mask_other=0.0, no_mask_overlap=False, mask_min_space=1, mask_channel_length=10, mask_channel_prob=0.0, mask_channel_selection='static', mask_channel_other=0.0, no_mask_channel_overlap=False, mask_channel_min_space=1, conv_pos=128, conv_pos_groups=16, conv_pos_batch_norm=False, latent_temp=[2.0, 0.5, 0.999995], skip_masked=False, skip_nomask=False, checkpoint_activations=False, required_seq_len_multiple=2, depthwise_conv_kernel_size=31, attn_type='', pos_enc_type='abs', fp16=False)
/home/tony/anaconda3/envs/suno_env/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
  warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
2023-10-14 22:17:58 | INFO | fairseq.models.hubert.hubert | cannot find dictionary. assume will be used for fine-tuning
[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 640
[Runner] - Start a new experiment
[(512, 10, 5), (512, 3, 2), (512, 3, 2), (512, 3, 2), (512, 3, 2), (512, 2, 2), (512, 2, 2), (512, 2, 2)] 640

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overall:  48%|████▊     | 1914/4000 [12:14<13:25,  2.59it/s]

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train:  68%|██████▊   | 1970/2893 [12:36<05:58,  2.58it/s]
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train:  68%|██████▊   | 1975/2893 [12:38<05:55,  2.58it/s]
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train:  68%|██████▊   | 1978/2893 [12:39<05:53,  2.59it/s]
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train:  68%|██████▊   | 1979/2893 [12:40<05:59,  2.54it/s]
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train:  68%|██████▊   | 1980/2893 [12:40<05:56,  2.56it/s]
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train:  68%|██████▊   | 1981/2893 [12:40<05:57,  2.55it/s]
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train:  69%|██████▊   | 1982/2893 [12:41<05:55,  2.56it/s]
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train:  69%|██████▊   | 1983/2893 [12:41<05:53,  2.57it/s]
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train:  69%|██████▊   | 1984/2893 [12:42<05:52,  2.58it/s]
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train:  69%|██████▊   | 1986/2893 [12:42<05:50,  2.59it/s]
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train:  69%|██████▊   | 1987/2893 [12:43<05:49,  2.59it/s]
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train:  69%|██████▊   | 1988/2893 [12:43<05:48,  2.60it/s]
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train:  69%|██████▉   | 1989/2893 [12:44<05:50,  2.58it/s]
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train:  69%|██████▉   | 1990/2893 [12:44<05:48,  2.59it/s]
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train:  69%|██████▉   | 1991/2893 [12:44<05:54,  2.55it/s]
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train:  69%|██████▉   | 1992/2893 [12:45<05:51,  2.56it/s]
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train:  69%|██████▉   | 1993/2893 [12:45<05:52,  2.55it/s]
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train:  69%|██████▉   | 1994/2893 [12:45<05:50,  2.57it/s]
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train:  69%|██████▉   | 1995/2893 [12:46<05:47,  2.58it/s]
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train:  69%|██████▉   | 1996/2893 [12:46<05:47,  2.58it/s]
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train:  69%|██████▉   | 1997/2893 [12:47<05:47,  2.58it/s]
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train:  99%|█████████▉| 2860/2893 [18:39<00:12,  2.58it/s]
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train:  99%|█████████▉| 2862/2893 [18:39<00:11,  2.59it/s]
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train: 100%|█████████▉| 2881/2893 [18:47<00:04,  2.54it/s]
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train: 100%|█████████▉| 2882/2893 [18:47<00:04,  2.55it/s]
overall:  72%|███████▏  | 2883/4000 [18:47<07:14,  2.57it/s]

train: 100%|█████████▉| 2883/2893 [18:47<00:03,  2.57it/s]
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train: 100%|█████████▉| 2884/2893 [18:48<00:03,  2.57it/s]
overall:  72%|███████▏  | 2885/4000 [18:48<07:13,  2.57it/s]

train: 100%|█████████▉| 2885/2893 [18:48<00:03,  2.57it/s]
overall:  72%|███████▏  | 2886/4000 [18:49<07:11,  2.58it/s]

train: 100%|█████████▉| 2886/2893 [18:49<00:02,  2.58it/s]
overall:  72%|███████▏  | 2887/4000 [18:49<07:11,  2.58it/s]

train: 100%|█████████▉| 2887/2893 [18:49<00:02,  2.58it/s]
overall:  72%|███████▏  | 2888/4000 [18:49<07:11,  2.58it/s]

train: 100%|█████████▉| 2888/2893 [18:49<00:01,  2.58it/s]
overall:  72%|███████▏  | 2889/4000 [18:50<07:09,  2.59it/s]

train: 100%|█████████▉| 2889/2893 [18:50<00:01,  2.59it/s]
overall:  72%|███████▏  | 2890/4000 [18:50<07:08,  2.59it/s]

train: 100%|█████████▉| 2890/2893 [18:50<00:01,  2.59it/s]
overall:  72%|███████▏  | 2891/4000 [18:51<07:11,  2.57it/s]

train: 100%|█████████▉| 2891/2893 [18:51<00:00,  2.57it/s]
overall:  72%|███████▏  | 2892/4000 [18:51<07:08,  2.58it/s]

train: 100%|█████████▉| 2892/2893 [18:51<00:00,  2.58it/s]
train: 100%|██████████| 2893/2893 [18:51<00:00,  2.56it/s]
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overall:  72%|███████▏  | 2894/4000 [18:52<08:51,  2.08it/s]

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overall:  72%|███████▏  | 2895/4000 [18:53<08:24,  2.19it/s]

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overall:  72%|███████▏  | 2896/4000 [18:53<08:07,  2.26it/s]

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overall:  72%|███████▏  | 2897/4000 [18:53<07:50,  2.35it/s]

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overall:  72%|███████▏  | 2898/4000 [18:54<07:35,  2.42it/s]

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overall:  72%|███████▏  | 2899/4000 [18:54<07:26,  2.46it/s]

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overall:  72%|███████▎  | 2900/4000 [18:54<07:21,  2.49it/s]

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overall:  73%|███████▎  | 2901/4000 [18:55<07:17,  2.51it/s]

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overall:  73%|███████▎  | 2902/4000 [18:55<07:12,  2.54it/s]

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overall:  73%|███████▎  | 2903/4000 [18:56<07:10,  2.55it/s]

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overall:  73%|███████▎  | 2904/4000 [18:56<07:53,  2.32it/s]

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overall:  73%|███████▎  | 2905/4000 [18:57<07:35,  2.40it/s]

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overall:  73%|███████▎  | 2906/4000 [18:57<07:30,  2.43it/s]

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overall:  73%|███████▎  | 2907/4000 [18:57<07:19,  2.49it/s]

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overall:  73%|███████▎  | 2908/4000 [18:58<07:15,  2.51it/s]

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overall:  73%|███████▎  | 2909/4000 [18:58<07:10,  2.53it/s]

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overall:  73%|███████▎  | 2910/4000 [18:58<07:06,  2.56it/s]

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overall:  73%|███████▎  | 2911/4000 [18:59<07:02,  2.58it/s]

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overall:  73%|███████▎  | 2912/4000 [18:59<07:00,  2.59it/s]

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overall:  73%|███████▎  | 2913/4000 [19:00<06:59,  2.59it/s]

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overall:  73%|███████▎  | 2914/4000 [19:00<07:00,  2.58it/s]

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overall:  73%|███████▎  | 2915/4000 [19:00<06:58,  2.59it/s]

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overall:  73%|███████▎  | 2916/4000 [19:01<06:58,  2.59it/s]

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overall:  73%|███████▎  | 2919/4000 [19:02<06:59,  2.58it/s]

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overall:  73%|███████▎  | 2920/4000 [19:02<06:57,  2.59it/s]

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overall:  73%|███████▎  | 2921/4000 [19:03<06:58,  2.58it/s]

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overall:  73%|███████▎  | 2922/4000 [19:03<06:58,  2.58it/s]

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overall:  73%|███████▎  | 2923/4000 [19:04<06:55,  2.59it/s]

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overall:  73%|███████▎  | 2924/4000 [19:04<06:57,  2.58it/s]

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overall:  73%|███████▎  | 2925/4000 [19:04<06:54,  2.59it/s]

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overall:  73%|███████▎  | 2926/4000 [19:05<06:53,  2.60it/s]

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overall:  73%|███████▎  | 2927/4000 [19:05<06:53,  2.60it/s]

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overall:  73%|███████▎  | 2928/4000 [19:05<06:52,  2.60it/s]

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overall:  73%|███████▎  | 2929/4000 [19:06<06:53,  2.59it/s]

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overall:  73%|███████▎  | 2930/4000 [19:06<06:59,  2.55it/s]

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overall:  73%|███████▎  | 2931/4000 [19:07<06:54,  2.58it/s]

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overall:  73%|███████▎  | 2932/4000 [19:07<06:55,  2.57it/s]

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overall:  73%|███████▎  | 2933/4000 [19:07<06:57,  2.56it/s]

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overall:  73%|███████▎  | 2934/4000 [19:08<06:54,  2.57it/s]

train:   1%|▏         | 41/2893 [00:16<18:28,  2.57it/s]
overall:  73%|███████▎  | 2935/4000 [19:08<06:55,  2.57it/s]

train:   1%|▏         | 42/2893 [00:17<18:31,  2.57it/s]
overall:  73%|███████▎  | 2936/4000 [19:09<06:51,  2.58it/s]

train:   1%|▏         | 43/2893 [00:17<18:22,  2.58it/s]
overall:  73%|███████▎  | 2937/4000 [19:09<06:51,  2.58it/s]

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train:  38%|███▊      | 1106/2893 [07:10<11:40,  2.55it/s]train loss: 1.7659130096435547
train acc: 0.5116022229194641
train loss: 1.685157060623169
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train loss: 1.6488001346588135
train acc: 0.5339999794960022
train loss: 1.665541648864746
train acc: 0.5649999976158142



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overall: 100%|█████████▉| 3999/4000 [26:18<00:00,  2.55it/s]

train:  38%|███▊      | 1106/2893 [07:27<11:40,  2.55it/s]
                                                            

                                                          

overall: 100%|█████████▉| 3999/4000 [26:18<00:00,  2.55it/s]

train:  38%|███▊      | 1106/2893 [07:27<11:40,  2.55it/s]
overall: 100%|██████████| 4000/4000 [26:18<00:00,  5.16s/it]

train:  38%|███▊      | 1107/2893 [07:27<2:33:39,  5.16s/it]
train:  38%|███▊      | 1107/2893 [07:27<12:01,  2.47it/s]  

overall: 100%|██████████| 4000/4000 [26:19<00:00,  2.53it/s]
test loss: 1.64301335811615
test acc: 0.546875
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt