Upload 01_pretrain
Browse files- 01_pretrain/config.yaml +72 -0
- 01_pretrain/model_200000.pt +3 -0
01_pretrain/config.yaml
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wandb_config:
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project: DiTAR
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wandb_run_name: ditar_train_dit_emilia_0.6b_semanticvae_again
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resume_id: null
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mode: online
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notes: null
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ckpts:
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logger: wandb
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log_samples: true
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save_per_updates: 2500
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keep_last_n_checkpoints: -1
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last_per_updates: 2500
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save_dir: ckpts/ditar_train_dit_emilia_0.6b_semanticvae_again
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checkpoint_step: null
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datasets:
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train_ds_path: data/Emilia_old/Emilia_ZH_EN_char
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val_ds_path: data/Emilia_old/LibriTTS_test-clean_char_1280
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batch_size_per_gpu: 400
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batch_size_type: frame
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max_samples: 16
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num_workers: 32
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target_sample_rate: 16000
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optim:
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epochs: 10
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learning_rate: 0.0001
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num_warmup_updates: 10000
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grad_accumulation_steps: 1
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max_grad_norm: 1.0
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bnb_optimizer: false
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model:
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name: DiTAR
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audio_type: vae_online
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audio_channels: 64
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patch_size: ${model.aggregation_encoder.patch_size}
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dim: ${model.backbone.hidden_size}
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mlp_hidden_dim: 512
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backbone:
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name: Qwen
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hidden_size: 1024
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version: qwen3
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qwen_config_path: checkpoints/Qwen3-0.6B/config.json
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pretrained_LM_path: checkpoints/Qwen3-0.6B
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load_pretrained_weights: true
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aggregation_encoder:
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name: qwen
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hidden_size: ${model.backbone.hidden_size}
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intermediate_size: 4096
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num_attention_heads: 16
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num_hidden_layers: 6
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patch_size: 4
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pool_type: cls
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loc_decoder:
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name: DiT
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model:
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dim: 1024
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out_dim: ${model.audio_channels}
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depth: 6
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heads: 16
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ff_mult: 4
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qk_norm: null
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pe_attn_head: null
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checkpoint_activations: false
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history_vae_window_size: 4
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drop_cond_prob: 0.1
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vocoder:
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mel_spec_type: semanticvae
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is_local: true
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local_path: checkpoints/Semantic-VAE/semantic_vae_1000k
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feature_extractor_ckpt: checkpoints/Semantic-VAE/semantic_vae_1000k
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loss_weight:
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diff_loss: 1.0
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stop_loss: 1.0
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01_pretrain/model_200000.pt
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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 sha256:0f2c89884109a5dd348fdd713c817c3b5848b29f00265f029e71d51ef2a367a6
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size 13391776877
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