--- license: cc-by-nc-4.0 tags: - speech-language-models - sentence-stress - frozen-frozen - blsp - paralinguistic base_model: Qwen/Qwen3-8B --- # BTA — R0 BLSP cohort (5 seeds) 5-seed cohort of the BLSP-class baseline adapter for the Beyond Transcript Alignment research project. **Architecture:** Conv1d(1024→4096, k=4, s=4) → MLP-2 → RMSNorm → +modality token (84M trainable params) **Encoder:** WavLM-Large layer 16 (`microsoft/wavlm-large`, frozen) **LLM:** Qwen3-8B-Instruct (`Qwen/Qwen3-8B`, frozen, `enable_thinking=False`) **Loss:** $\mathcal{L}_{\mathrm{BLSP}} = \mathcal{L}_{\mathrm{task}} + \lambda_{\mathrm{KL}} \mathcal{L}_{\mathrm{KL}}$ **Optimizer:** AdamW lr=5e-5, weight_decay=0.01, max_norm=1.0; cosine to 1e-6 **Schedule:** seed 1234 = 600 steps + warmup 500; seeds 1235-1238 = 300 steps + warmup 250 **Code:** ## Files | File | Size | |---|---| | `A_BLSP_seed1234.pt` | 336 MB | | `A_BLSP_seed1235.pt` | 336 MB | | `A_BLSP_seed1236.pt` | 336 MB | | `A_BLSP_seed1237.pt` | 336 MB | | `A_BLSP_seed1238.pt` | 336 MB | | `adapter_init.json` | calibrated init (std_8B=0.02205, RMSNorm scale=0.0215) | ## Reported metrics (5-seed cohort) | Metric | Mean ± σ | |---|---| | Probe-G total | 0.6306 ± 0.0095 | | **Probe-G$_{\mathrm{neutral}}$** | **0.5122 ± 0.0108** | | Probe-G$_{\mathrm{explicit}}$ | 0.7491 ± 0.0120 | | Probe-K linear eval_full | 0.2105 ± 0.0128 | | Probe-K MLP-2 eval_full | 0.2446 ± 0.0339 | **Sub-cascade collapse:** every seed's Probe-K linear is below the $K_T$ text-only baseline of 0.290. ## Usage ```python import torch from huggingface_hub import hf_hub_download ckpt = hf_hub_download("nur-dev/frozen-stress-r0-blsp", "A_BLSP_seed1234.pt") state = torch.load(ckpt, map_location="cpu") # Adapter loading — see scripts/stage2_eval.py in the GitHub repo ``` ## License CC-BY-NC-4.0 (weights inherit non-commercial restriction from the training datasets Stress-17K-raw, StressPresso, Expresso). Permitted for academic research and ablation studies.