初始化项目，由ModelHub XC社区提供模型

Model: anyreach-ai/semantic-turn-taking
Source: Original Platform

training_config.yaml

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+# Training configuration for checkpoint-7000 (synth-only-v2-fixed-run2-removedlabelaug)
+# This is the config used to train the published model.
+
+model:
+  name: "Qwen/Qwen2.5-0.5B-Instruct"
+  max_length: 1024
+  predict_token: "<|predict|>"
+
+action_tokens:
+  - "<|continue_listening|>"
+  - "<|start_speaking|>"
+  - "<|start_listening|>"
+  - "<|continue_speaking|>"
+
+prediction_tokens:
+  - "<|continue_listening|>"
+  - "<|start_speaking|>"
+  - "<|start_listening|>"
+  - "<|continue_speaking|>"
+
+data:
+  train:
+    - "data/context_action/synthetic/train.csv"                              # ~140K
+    - "data/context_action/synthetic/supplementary_start_listening.csv"       # ~14K
+  val: "data/context_action/synthetic/val.csv"
+  test: "data/context_action/synthetic/test.csv"
+
+training:
+  batch_size: 8
+  gradient_accumulation_steps: 4    # effective batch size = 32
+  learning_rate: 5.0e-5
+  num_epochs: 50
+  warmup_steps: 100
+  weight_decay: 0.01
+  max_grad_norm: 1.0
+  bf16: true
+  lr_scheduler: "cosine"
+
+  loss:
+    ntp_weight: 0.1                 # 90% action CE + 10% NTP auxiliary
+
+  early_stopping:
+    enabled: true
+    patience: 10
+    metric: "eval_f1_macro"
+
+augmentation:
+  enabled: true
+  context_truncation:
+    enabled: true
+    probability: 0.2
+    min_turns: 1
+  asr_styles:
+    - "pure"
+    - "punctuated"
+    - "mixed"
+  filler_injection:
+    enabled: true
+    probability: 0.2
+    max_fillers: 3
+  disfluency:
+    enabled: true
+    probability: 0.2
+  # Label-changing augmentations DISABLED (broke balanced sampling)
+  streaming_crop:
+    enabled: false
+  backchannel_inject:
+    enabled: false
+
+output:
+  dir: "models_longer_training"
+  save_steps: 1000
+  eval_steps: 1000
+  logging_steps: 100
+  save_total_limit: 5
+
+evaluation:
+  batch_size: 8