melody_v1/train.log

[2024-07-12 22:42:24,744][__main__][INFO] - [rank: 0] Instantiating datamodule <fish_speech.datasets.semantic.SemanticDataModule>
[2024-07-12 22:42:25,360][datasets][INFO] - PyTorch version 2.3.1 available.
[2024-07-12 22:42:25,663][__main__][INFO] - [rank: 0] Instantiating model <fish_speech.models.text2semantic.lit_module.TextToSemantic>
[2024-07-12 22:42:25,719][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Override max_seq_len to 1024
[2024-07-12 22:42:25,755][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loading model from checkpoints/fish-speech-1.2, config: DualARModelArgs(model_type='dual_ar', vocab_size=32000, n_layer=24, n_head=16, dim=1024, intermediate_size=4096, n_local_heads=2, head_dim=64, rope_base=1000000.0, norm_eps=1e-06, max_seq_len=1024, dropout=0.1, tie_word_embeddings=False, attention_qkv_bias=False, codebook_size=1024, num_codebooks=4, use_gradient_checkpointing=True, initializer_range=0.02, n_fast_layer=4)
[2024-07-12 22:42:31,758][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] LoRA setup: LoraConfig(r=8, lora_alpha=16, lora_dropout=0.01)
[2024-07-12 22:42:31,832][fish_speech.models.text2semantic.llama][INFO] - [rank: 0] Loaded weights with error: _IncompatibleKeys(missing_keys=['embeddings.lora_A', 'embeddings.lora_B', 'codebook_embeddings.lora_A', 'codebook_embeddings.lora_B', 'layers.0.attention.wqkv.lora_A', 'layers.0.attention.wqkv.lora_B', 'layers.0.attention.wo.lora_A', 'layers.0.attention.wo.lora_B', 'layers.0.feed_forward.w1.lora_A', 'layers.0.feed_forward.w1.lora_B', 'layers.0.feed_forward.w3.lora_A', 'layers.0.feed_forward.w3.lora_B', 'layers.0.feed_forward.w2.lora_A', 'layers.0.feed_forward.w2.lora_B', 'layers.1.attention.wqkv.lora_A', 'layers.1.attention.wqkv.lora_B', 'layers.1.attention.wo.lora_A', 'layers.1.attention.wo.lora_B', 'layers.1.feed_forward.w1.lora_A', 'layers.1.feed_forward.w1.lora_B', 'layers.1.feed_forward.w3.lora_A', 'layers.1.feed_forward.w3.lora_B', 'layers.1.feed_forward.w2.lora_A', 'layers.1.feed_forward.w2.lora_B', 'layers.2.attention.wqkv.lora_A', 'layers.2.attention.wqkv.lora_B', 'layers.2.attention.wo.lora_A', 'layers.2.attention.wo.lora_B', 'layers.2.feed_forward.w1.lora_A', 'layers.2.feed_forward.w1.lora_B', 'layers.2.feed_forward.w3.lora_A', 'layers.2.feed_forward.w3.lora_B', 'layers.2.feed_forward.w2.lora_A', 'layers.2.feed_forward.w2.lora_B', 'layers.3.attention.wqkv.lora_A', 'layers.3.attention.wqkv.lora_B', 'layers.3.attention.wo.lora_A', 'layers.3.attention.wo.lora_B', 'layers.3.feed_forward.w1.lora_A', 'layers.3.feed_forward.w1.lora_B', 'layers.3.feed_forward.w3.lora_A', 'layers.3.feed_forward.w3.lora_B', 'layers.3.feed_forward.w2.lora_A', 'layers.3.feed_forward.w2.lora_B', 'layers.4.attention.wqkv.lora_A', 'layers.4.attention.wqkv.lora_B', 'layers.4.attention.wo.lora_A', 'layers.4.attention.wo.lora_B', 'layers.4.feed_forward.w1.lora_A', 'layers.4.feed_forward.w1.lora_B', 'layers.4.feed_forward.w3.lora_A', 'layers.4.feed_forward.w3.lora_B', 'layers.4.feed_forward.w2.lora_A', 'layers.4.feed_forward.w2.lora_B', 'layers.5.attention.wqkv.lora_A', 'layers.5.attention.wqkv.lora_B', 'layers.5.attention.wo.lora_A', 'layers.5.attention.wo.lora_B', 'layers.5.feed_forward.w1.lora_A', 'layers.5.feed_forward.w1.lora_B', 'layers.5.feed_forward.w3.lora_A', 'layers.5.feed_forward.w3.lora_B', 'layers.5.feed_forward.w2.lora_A', 'layers.5.feed_forward.w2.lora_B', 'layers.6.attention.wqkv.lora_A', 'layers.6.attention.wqkv.lora_B', 'layers.6.attention.wo.lora_A', 'layers.6.attention.wo.lora_B', 'layers.6.feed_forward.w1.lora_A', 'layers.6.feed_forward.w1.lora_B', 'layers.6.feed_forward.w3.lora_A', 'layers.6.feed_forward.w3.lora_B', 'layers.6.feed_forward.w2.lora_A', 'layers.6.feed_forward.w2.lora_B', 'layers.7.attention.wqkv.lora_A', 'layers.7.attention.wqkv.lora_B', 'layers.7.attention.wo.lora_A', 'layers.7.attention.wo.lora_B', 'layers.7.feed_forward.w1.lora_A', 'layers.7.feed_forward.w1.lora_B', 'layers.7.feed_forward.w3.lora_A', 'layers.7.feed_forward.w3.lora_B', 'layers.7.feed_forward.w2.lora_A', 'layers.7.feed_forward.w2.lora_B', 'layers.8.attention.wqkv.lora_A', 'layers.8.attention.wqkv.lora_B', 'layers.8.attention.wo.lora_A', 'layers.8.attention.wo.lora_B', 'layers.8.feed_forward.w1.lora_A', 'layers.8.feed_forward.w1.lora_B', 'layers.8.feed_forward.w3.lora_A', 'layers.8.feed_forward.w3.lora_B', 'layers.8.feed_forward.w2.lora_A', 'layers.8.feed_forward.w2.lora_B', 'layers.9.attention.wqkv.lora_A', 'layers.9.attention.wqkv.lora_B', 'layers.9.attention.wo.lora_A', 'layers.9.attention.wo.lora_B', 'layers.9.feed_forward.w1.lora_A', 'layers.9.feed_forward.w1.lora_B', 'layers.9.feed_forward.w3.lora_A', 'layers.9.feed_forward.w3.lora_B', 'layers.9.feed_forward.w2.lora_A', 'layers.9.feed_forward.w2.lora_B', 'layers.10.attention.wqkv.lora_A', 'layers.10.attention.wqkv.lora_B', 'layers.10.attention.wo.lora_A', 'layers.10.attention.wo.lora_B', 'layers.10.feed_forward.w1.lora_A', 'layers.10.feed_forward.w1.lora_B', 'layers.10.feed_forward.w3.lora_A', 'layers.10.feed_forward.w3.lora_B', 'layers.10.feed_forward.w2.lora_A', 'layers.10.feed_forward.w2.lora_B', 'layers.11.attention.wqkv.lora_A', 'layers.11.attention.wqkv.lora_B', 'layers.11.attention.wo.lora_A', 'layers.11.attention.wo.lora_B', 'layers.11.feed_forward.w1.lora_A', 'layers.11.feed_forward.w1.lora_B', 'layers.11.feed_forward.w3.lora_A', 'layers.11.feed_forward.w3.lora_B', 'layers.11.feed_forward.w2.lora_A', 'layers.11.feed_forward.w2.lora_B', 'layers.12.attention.wqkv.lora_A', 'layers.12.attention.wqkv.lora_B', 'layers.12.attention.wo.lora_A', 'layers.12.attention.wo.lora_B', 'layers.12.feed_forward.w1.lora_A', 'layers.12.feed_forward.w1.lora_B', 'layers.12.feed_forward.w3.lora_A', 'layers.12.feed_forward.w3.lora_B', 'layers.12.feed_forward.w2.lora_A', 'layers.12.feed_forward.w2.lora_B', 'layers.13.attention.wqkv.lora_A', 'layers.13.attention.wqkv.lora_B', 'layers.13.attention.wo.lora_A', 'layers.13.attention.wo.lora_B', 'layers.13.feed_forward.w1.lora_A', 'layers.13.feed_forward.w1.lora_B', 'layers.13.feed_forward.w3.lora_A', 'layers.13.feed_forward.w3.lora_B', 'layers.13.feed_forward.w2.lora_A', 'layers.13.feed_forward.w2.lora_B', 'layers.14.attention.wqkv.lora_A', 'layers.14.attention.wqkv.lora_B', 'layers.14.attention.wo.lora_A', 'layers.14.attention.wo.lora_B', 'layers.14.feed_forward.w1.lora_A', 'layers.14.feed_forward.w1.lora_B', 'layers.14.feed_forward.w3.lora_A', 'layers.14.feed_forward.w3.lora_B', 'layers.14.feed_forward.w2.lora_A', 'layers.14.feed_forward.w2.lora_B', 'layers.15.attention.wqkv.lora_A', 'layers.15.attention.wqkv.lora_B', 'layers.15.attention.wo.lora_A', 'layers.15.attention.wo.lora_B', 'layers.15.feed_forward.w1.lora_A', 'layers.15.feed_forward.w1.lora_B', 'layers.15.feed_forward.w3.lora_A', 'layers.15.feed_forward.w3.lora_B', 'layers.15.feed_forward.w2.lora_A', 'layers.15.feed_forward.w2.lora_B', 'layers.16.attention.wqkv.lora_A', 'layers.16.attention.wqkv.lora_B', 'layers.16.attention.wo.lora_A', 'layers.16.attention.wo.lora_B', 'layers.16.feed_forward.w1.lora_A', 'layers.16.feed_forward.w1.lora_B', 'layers.16.feed_forward.w3.lora_A', 'layers.16.feed_forward.w3.lora_B', 'layers.16.feed_forward.w2.lora_A', 'layers.16.feed_forward.w2.lora_B', 'layers.17.attention.wqkv.lora_A', 'layers.17.attention.wqkv.lora_B', 'layers.17.attention.wo.lora_A', 'layers.17.attention.wo.lora_B', 'layers.17.feed_forward.w1.lora_A', 'layers.17.feed_forward.w1.lora_B', 'layers.17.feed_forward.w3.lora_A', 'layers.17.feed_forward.w3.lora_B', 'layers.17.feed_forward.w2.lora_A', 'layers.17.feed_forward.w2.lora_B', 'layers.18.attention.wqkv.lora_A', 'layers.18.attention.wqkv.lora_B', 'layers.18.attention.wo.lora_A', 'layers.18.attention.wo.lora_B', 'layers.18.feed_forward.w1.lora_A', 'layers.18.feed_forward.w1.lora_B', 'layers.18.feed_forward.w3.lora_A', 'layers.18.feed_forward.w3.lora_B', 'layers.18.feed_forward.w2.lora_A', 'layers.18.feed_forward.w2.lora_B', 'layers.19.attention.wqkv.lora_A', 'layers.19.attention.wqkv.lora_B', 'layers.19.attention.wo.lora_A', 'layers.19.attention.wo.lora_B', 'layers.19.feed_forward.w1.lora_A', 'layers.19.feed_forward.w1.lora_B', 'layers.19.feed_forward.w3.lora_A', 'layers.19.feed_forward.w3.lora_B', 'layers.19.feed_forward.w2.lora_A', 'layers.19.feed_forward.w2.lora_B', 'layers.20.attention.wqkv.lora_A', 'layers.20.attention.wqkv.lora_B', 'layers.20.attention.wo.lora_A', 'layers.20.attention.wo.lora_B', 'layers.20.feed_forward.w1.lora_A', 'layers.20.feed_forward.w1.lora_B', 'layers.20.feed_forward.w3.lora_A', 'layers.20.feed_forward.w3.lora_B', 'layers.20.feed_forward.w2.lora_A', 'layers.20.feed_forward.w2.lora_B', 'layers.21.attention.wqkv.lora_A', 'layers.21.attention.wqkv.lora_B', 'layers.21.attention.wo.lora_A', 'layers.21.attention.wo.lora_B', 'layers.21.feed_forward.w1.lora_A', 'layers.21.feed_forward.w1.lora_B', 'layers.21.feed_forward.w3.lora_A', 'layers.21.feed_forward.w3.lora_B', 'layers.21.feed_forward.w2.lora_A', 'layers.21.feed_forward.w2.lora_B', 'layers.22.attention.wqkv.lora_A', 'layers.22.attention.wqkv.lora_B', 'layers.22.attention.wo.lora_A', 'layers.22.attention.wo.lora_B', 'layers.22.feed_forward.w1.lora_A', 'layers.22.feed_forward.w1.lora_B', 'layers.22.feed_forward.w3.lora_A', 'layers.22.feed_forward.w3.lora_B', 'layers.22.feed_forward.w2.lora_A', 'layers.22.feed_forward.w2.lora_B', 'layers.23.attention.wqkv.lora_A', 'layers.23.attention.wqkv.lora_B', 'layers.23.attention.wo.lora_A', 'layers.23.attention.wo.lora_B', 'layers.23.feed_forward.w1.lora_A', 'layers.23.feed_forward.w1.lora_B', 'layers.23.feed_forward.w3.lora_A', 'layers.23.feed_forward.w3.lora_B', 'layers.23.feed_forward.w2.lora_A', 'layers.23.feed_forward.w2.lora_B', 'output.lora_A', 'output.lora_B', 'fast_embeddings.lora_A', 'fast_embeddings.lora_B', 'fast_layers.0.attention.wqkv.lora_A', 'fast_layers.0.attention.wqkv.lora_B', 'fast_layers.0.attention.wo.lora_A', 'fast_layers.0.attention.wo.lora_B', 'fast_layers.0.feed_forward.w1.lora_A', 'fast_layers.0.feed_forward.w1.lora_B', 'fast_layers.0.feed_forward.w3.lora_A', 'fast_layers.0.feed_forward.w3.lora_B', 'fast_layers.0.feed_forward.w2.lora_A', 'fast_layers.0.feed_forward.w2.lora_B', 'fast_layers.1.attention.wqkv.lora_A', 'fast_layers.1.attention.wqkv.lora_B', 'fast_layers.1.attention.wo.lora_A', 'fast_layers.1.attention.wo.lora_B', 'fast_layers.1.feed_forward.w1.lora_A', 'fast_layers.1.feed_forward.w1.lora_B', 'fast_layers.1.feed_forward.w3.lora_A', 'fast_layers.1.feed_forward.w3.lora_B', 'fast_layers.1.feed_forward.w2.lora_A', 'fast_layers.1.feed_forward.w2.lora_B', 'fast_layers.2.attention.wqkv.lora_A', 'fast_layers.2.attention.wqkv.lora_B', 'fast_layers.2.attention.wo.lora_A', 'fast_layers.2.attention.wo.lora_B', 'fast_layers.2.feed_forward.w1.lora_A', 'fast_layers.2.feed_forward.w1.lora_B', 'fast_layers.2.feed_forward.w3.lora_A', 'fast_layers.2.feed_forward.w3.lora_B', 'fast_layers.2.feed_forward.w2.lora_A', 'fast_layers.2.feed_forward.w2.lora_B', 'fast_layers.3.attention.wqkv.lora_A', 'fast_layers.3.attention.wqkv.lora_B', 'fast_layers.3.attention.wo.lora_A', 'fast_layers.3.attention.wo.lora_B', 'fast_layers.3.feed_forward.w1.lora_A', 'fast_layers.3.feed_forward.w1.lora_B', 'fast_layers.3.feed_forward.w3.lora_A', 'fast_layers.3.feed_forward.w3.lora_B', 'fast_layers.3.feed_forward.w2.lora_A', 'fast_layers.3.feed_forward.w2.lora_B', 'fast_output.lora_A', 'fast_output.lora_B'], unexpected_keys=[])
[2024-07-12 22:42:31,844][__main__][INFO] - [rank: 0] Instantiating callbacks...
[2024-07-12 22:42:31,844][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelCheckpoint>
[2024-07-12 22:42:31,847][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.ModelSummary>
[2024-07-12 22:42:31,847][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <lightning.pytorch.callbacks.LearningRateMonitor>
[2024-07-12 22:42:31,848][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating callback <fish_speech.callbacks.GradNormMonitor>
[2024-07-12 22:42:31,865][__main__][INFO] - [rank: 0] Instantiating loggers...
[2024-07-12 22:42:31,865][fish_speech.utils.instantiators][INFO] - [rank: 0] Instantiating logger <lightning.pytorch.loggers.tensorboard.TensorBoardLogger>
[2024-07-12 22:42:31,873][__main__][INFO] - [rank: 0] Instantiating trainer <lightning.pytorch.trainer.Trainer>
[2024-07-12 22:42:31,917][__main__][INFO] - [rank: 0] Logging hyperparameters!
[2024-07-12 22:42:31,998][__main__][INFO] - [rank: 0] Starting training!
[2024-07-12 22:42:59,315][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.01 for 432 parameters
[2024-07-12 22:42:59,315][fish_speech.models.text2semantic.lit_module][INFO] - [rank: 0] Set weight decay: 0.0 for 61 parameters
[2024-07-12 22:42:59,586][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 2 files
[2024-07-12 22:42:59,586][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 2 files
[2024-07-12 22:42:59,586][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 2 files
[2024-07-12 22:42:59,586][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 2 files
[2024-07-12 22:42:59,687][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 3 groups of data
[2024-07-12 22:42:59,714][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 2 groups of data
[2024-07-12 22:42:59,784][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 6 groups of data
[2024-07-12 22:42:59,804][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data
[2024-07-12 22:43:00,779][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 2 files
[2024-07-12 22:43:00,779][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 2 / 2 files
[2024-07-12 22:43:00,780][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 2 files
[2024-07-12 22:43:00,780][fish_speech.datasets.semantic][INFO] - [rank: 0] Reading 1 / 2 files
[2024-07-12 22:43:00,891][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 3 groups of data
[2024-07-12 22:43:00,903][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 2 groups of data
[2024-07-12 22:43:00,967][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 6 groups of data
[2024-07-12 22:43:00,999][fish_speech.datasets.semantic][INFO] - [rank: 0] Read total 4 groups of data
[2024-07-13 14:47:53,112][fish_speech.utils.utils][INFO] - [rank: 0] Output dir: results/melody_v1