Whisper Tiny Ro 80mel

--- language: [ro] license: apache-2.0 tags: [automatic-speech-recognition, romanian, whisper, fine-tuned] metrics: [wer, cer] model-index: - name: whisper-tiny_ro-80mel results: - task: {type: automatic-speech-recognition} dataset: {name: Romanian merged corpus (80-mel), type: custom} metrics: - {type: wer, value: 0.1993} - {type: cer, value: 0.0672} --- # whisper-tiny_ro-80mel — Romanian Fine-tune Fine-tuned [`openai/whisper-tiny`](https://huggingface.co/openai/whisper-tiny) on a merged Romanian corpus (~445h). Input: **80-mel** spectrograms. ## Performance (beam=5, full val) | Metric | Value | |--------|-------| | **WER** | **0.1993** | | **CER** | **0.0672** | Evaluated on 25,348 validation samples (52.75h). ## Training | Parameter | Value | |-----------|-------| | Base | `openai/whisper-tiny` | | GPU | NVIDIA A100 80GB PCIe | | Features | 80-mel | | Effective batch | 288 (96×3) | | Optimizer | adamw_torch | | LR / scheduler | 1e-05 / cosine | | Warmup | 500 | | Max epochs | 12 | | Precision | BF16 | | Selection | eval_loss (early stop 6) | | Date | 2026-09-16 | ## Dataset | Dataset | Samples | Hours | |---------|---------|-------| | Echo | 163,050 | 374.33h | | VoxPopuli | 27,060 | 85.20h | | RODigits | 15,389 | 37.55h | | RO-Smart (TTS) | 10,572 | 17.28h | | CommonVoice-25 | 19,850 | 22.15h | | FLEURS | 4,161 | 13.73h | | USPDATRO | 2,637 | 4.31h | | **TOTAL** | **242,719** | **554.55h** | ## Notes - decoder_start_token_id=50258 (SOT); positional label masking; begin_suppress_tokens=[220]. - Checkpoint selection on eval_loss; final WER via standalone beam=5 generate.

Source context: 161 downloads · 1 likes · Pipeline automatic-speech-recognition · Library transformers · Repo IonGrozea/whisper-tiny_ro-80mel

Source context: 49 downloads · 1 likes · Pipeline automatic-speech-recognition · Repo IonGrozea/whisper-tiny_ro-80mel