File size: 9,233 Bytes
7db859a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 | # Macros:
# ==============================================================================
batch_size = 384
new_freq = 24000
# Parameters for AllMPNetBaseV2:
# ==============================================================================
AllMPNetBaseV2.model_id = 'sentence-transformers/all-mpnet-base-v2'
# Parameters for AudioDataModule:
# ==============================================================================
AudioDataModule.num_workers = 0
# Parameters for AudioDataset:
# ==============================================================================
AudioDataset.half_precision = True
AudioDataset.mono = True
AudioDataset.new_freq = 24000
AudioDataset.num_frames = 480000
AudioDataset.orig_freq = 16000
# Parameters for build_dev_datamodule:
# ==============================================================================
build_dev_datamodule.datamodule = @discotube_text_audio
# Parameters for build_module:
# ==============================================================================
build_module.ckpt_path = \
'/home/jovyan/shared/palonso/data/logs/mtg-text-audio/dt86c2jx/checkpoints/epoch=287-step=148032.ckpt'
build_module.module = @modules.maskingmodel.MaskingModel
build_module.net = @nets.conformer.Conformer
build_module.representation = \
[@nets.melspectrogram.MelSpectrogram,
@nets.waveform.Waveform,
@nets.cqt.CQT,
@nets.encodec.EnCodec]
# Parameters for CLAP:
# ==============================================================================
CLAP.aggregation_type = 'mean'
CLAP.audio_encoder = @OMARRQ
CLAP.loss_type = 'info_nce_multimodal'
CLAP.lr = 0.0001
CLAP.n_pool_att_heads = 8
CLAP.proj_size = 512
CLAP.seed = 0
CLAP.temp = 0.1
CLAP.text_encoder = @AllMPNetBaseV2
CLAP.tokenizers_parallelism = False
CLAP.train_audio_encoder = True
CLAP.train_text_encoder = False
CLAP.weight_decay = 0.01
# Parameters for ConcatTextAudioDataModule:
# ==============================================================================
ConcatTextAudioDataModule.batch_size = %batch_size
ConcatTextAudioDataModule.datamodules = \
[@DiscotubeTextAudioCleanDataModule,
@MSDTextAudioDataModule,
@FreesoundTextAudioDataModule,
@PSETextAudioDataModule]
ConcatTextAudioDataModule.num_workers = 30
ConcatTextAudioDataModule.ratios = [0.55, 0.3, 0.11, 0.04]
# Parameters for Conformer:
# ==============================================================================
Conformer.alpha_deepnorm = 2.21
Conformer.beta_deepnorm = 0.0026
Conformer.conv_kernel_size = 5
Conformer.depth = 12
Conformer.dropout = 0.2
Conformer.embed_dim = 512
Conformer.input_dropout = 0.0
Conformer.mlp_ratio = 4.0
Conformer.mlp_residual_factor = 4.0
Conformer.num_heads = 8
Conformer.num_patches = None
Conformer.use_deepnorm = True
Conformer.use_rope = True
# Parameters for CosineAnnealingCallback:
# ==============================================================================
CosineAnnealingCallback.eta_min = 1e-07
CosineAnnealingCallback.warmup_steps = 15000
# Parameters for CQT:
# ==============================================================================
CQT.bins_per_octave = 24
CQT.f_min = 32.703
CQT.hop_len = 320
CQT.logC = True
CQT.magnitude = True
CQT.n_bins = 188
CQT.norm_mean = 4.754879065310596
CQT.norm_std = 1.9055732535255916
CQT.patch_size = (188, 4)
CQT.power = 2
CQT.sr = %new_freq
# Parameters for def_module:
# ==============================================================================
def_module.module = @clap
# Parameters for DiscotubeTextAudioCleanDataModule:
# ==============================================================================
DiscotubeTextAudioCleanDataModule.batch_size = %batch_size
DiscotubeTextAudioCleanDataModule.data_dir = '/'
DiscotubeTextAudioCleanDataModule.filelist_train = \
'/home/jovyan/shared/palonso/data/discotube/metadata/mmap_ids_train'
DiscotubeTextAudioCleanDataModule.filelist_val = \
'/home/jovyan/shared/palonso/data/discotube/metadata/mmap_ids_val'
DiscotubeTextAudioCleanDataModule.max_sentences = 3
DiscotubeTextAudioCleanDataModule.num_workers = 30
DiscotubeTextAudioCleanDataModule.text_file = \
'/home/jovyan/shared/palonso/data/discotube/metadata/Qwen_Qwen2.5-32B__chatgpt_v2__t0.5__1.1.jsonl'
# Parameters for DiscotubeTextAudioCleanDataset:
# ==============================================================================
DiscotubeTextAudioCleanDataset.num_frames = 160000
# Parameters for EnCodec:
# ==============================================================================
EnCodec.norm_type = 'global'
EnCodec.orig_sr = %new_freq
EnCodec.patch_size = (128, 4)
EnCodec.stats_path = None
EnCodec.weights_path = '/gpfs/scratch/upf97/model_weights/encodec_24khz/'
# Parameters for FreesoundTextAudioDataModule:
# ==============================================================================
FreesoundTextAudioDataModule.batch_size = %batch_size
FreesoundTextAudioDataModule.data_dir = \
'/home/jovyan/shared/palonso/data/freesound/mmaps/'
FreesoundTextAudioDataModule.description_prob = 0.2
FreesoundTextAudioDataModule.filelist_train = \
'/home/jovyan/shared/palonso/data/freesound/filelist_full_train_mmap.txt'
FreesoundTextAudioDataModule.filelist_val = \
'/home/jovyan/shared/palonso/data/freesound/filelist_full_val_mmap.txt'
FreesoundTextAudioDataModule.num_workers = 30
FreesoundTextAudioDataModule.text_file = \
'/home/jovyan/shared/palonso/data/freesound/freesound_metadata.jsonl'
# Parameters for FreesoundTextAudioDataset:
# ==============================================================================
FreesoundTextAudioDataset.num_frames = 160000
# Parameters for MaskingModel:
# ==============================================================================
MaskingModel.codebook_dim = 16
MaskingModel.codebook_size = 8196
MaskingModel.diff_input = False
MaskingModel.input_representation = @nets.waveform.Waveform
MaskingModel.lr = 0.0001
MaskingModel.mask_prob = 0.6
MaskingModel.mask_seconds = 0.4
MaskingModel.num_codebooks = 1
MaskingModel.plot_tokens = False
MaskingModel.seed = 0
MaskingModel.weight_decay = 0.01
# Parameters for MelSpectrogram:
# ==============================================================================
MelSpectrogram.freq_mask_param = 0
MelSpectrogram.hop_len = 320
MelSpectrogram.mel_scale = 'slaney'
MelSpectrogram.n_mel = 96
MelSpectrogram.norm = 'slaney'
MelSpectrogram.norm_mean = 2.06755686098554
MelSpectrogram.norm_std = 1.268292820667291
MelSpectrogram.patch_size = (96, 4)
MelSpectrogram.power = 2
MelSpectrogram.sr = %new_freq
MelSpectrogram.stretch_factor = 1
MelSpectrogram.time_mask_param = 0
MelSpectrogram.win_len = 512
# Parameters for MSDTextAudioDataModule:
# ==============================================================================
MSDTextAudioDataModule.batch_size = %batch_size
MSDTextAudioDataModule.data_dir = '/home/jovyan/shared/palonso/data/msd/mmaps/'
MSDTextAudioDataModule.description_prob = 0.5
MSDTextAudioDataModule.filelist_train = \
'/home/jovyan/shared/palonso/data/msd/filelist_train_mmap.txt'
MSDTextAudioDataModule.filelist_val = \
'/home/jovyan/shared/palonso/data/msd/filelist_val_mmap.txt'
MSDTextAudioDataModule.num_workers = 30
# Parameters for MSDTextAudioDataset:
# ==============================================================================
MSDTextAudioDataset.num_frames = 160000
# Parameters for OMARRQ:
# ==============================================================================
OMARRQ.model_id = 'mtg-upf/clap_omarrq_mp_small_music'
# Parameters for PSETextAudioDataModule:
# ==============================================================================
PSETextAudioDataModule.batch_size = %batch_size
PSETextAudioDataModule.data_dir = \
'/home/jovyan/shared/palonso/data/pse/mmaps/pse_data_december_2024/data/'
PSETextAudioDataModule.filelist_train = \
'/home/jovyan/shared/palonso/data/pse/filelist_train.txt'
PSETextAudioDataModule.filelist_val = \
'/home/jovyan/shared/palonso/data/pse/filelist_val.txt'
PSETextAudioDataModule.num_workers = 30
# Parameters for PSETextAudioDataset:
# ==============================================================================
PSETextAudioDataset.num_frames = 160000
# Parameters for train:
# ==============================================================================
train.ckpt_save_every_n_epochs = 8
train.datamodule = @concat_text_audio
train.hf_ckpt = 'mtg-upf/clap_omarrq_mp_small_music'
train.params = \
{'accelerator': 'gpu',
'check_val_every_n_epoch': 8,
'devices': 8,
'log_every_n_steps': 50,
'max_steps': 150000,
'num_nodes': 1,
'num_sanity_val_steps': -1,
'precision': 'bf16-mixed',
'strategy': 'ddp_find_unused_parameters_true'}
train.wandb_params = \
{'entity': 'mtg-upf',
'group': 'vanilla_clap',
'name': 'config_clap_mpnet_base_v2_ssl_mp_10s_small_clap_dt_msd_fs_pse_lr_5e-6',
'offline': False,
'project': 'mtg-text-audio',
'save_dir': '/home/jovyan/shared/palonso/data/logs'}
# Parameters for Waveform:
# ==============================================================================
Waveform.norm_mean = None
Waveform.norm_std = None
Waveform.patch_size = (1, 1280)
Waveform.sr = %new_freq
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