Qipchoq STT

--- license: apache-2.0 base_model: xmullaboyeva/mullaboyeva-stt tags: - automatic-speech-recognition - speech - asr - uzbek - generated_from_trainer model-index: - name: Qipchoq-STT results: [] --- # Qipchoq-STT Qipchoq-STT is a fine-tuned automatic speech recognition (ASR) model based on **xmullaboyeva/mullaboyeva-stt**. The model converts speech audio into text and is intended for research and practical speech recognition applications. ## Model description This model was fine-tuned from **xmullaboyeva/mullaboyeva-stt** using a custom speech dataset. It is designed for speech-to-text transcription and can be integrated into Python applications using the Hugging Face Transformers library. ## Usage ```python from transformers import pipeline pipe = pipeline( "automatic-speech-recognition", model="xmullaboyeva/Qipchoq-STT" ) result = pipe("audio.wav") print(result["text"]) ``` ## Intended uses The model can be used for: - Automatic speech recognition (ASR) - Speech-to-text transcription - Speech technology research - Voice-enabled applications - Dataset transcription and annotation ## Limitations Recognition accuracy may decrease for: - Noisy audio recordings - Speech with accents or dialects not represented in the training data - Overlapping speakers - Extremely short audio clips ## Training and evaluation data The model was fine-tuned on a custom speech dataset. ## Training procedure ### Training hyperparameters | Hyperparameter | Value | |---------------|-------| | Learning rate | 1e-5 | | Train batch size | 8 | | Evaluation batch size | 2 | | Gradient accumulation steps | 4 | | Total train batch size | 32 | | Optimizer | Adam (β₁=0.9, β₂=0.999, ε=1e-8) | | Learning rate scheduler | Cosine | | Warmup ratio | 0.05 | | Number of epochs | 5 | | Random seed | 42 | ### Training results | Training Loss | Epoch | Step | Validation Loss | |--------------:|------:|-----:|----------------:| | 0.2231 | 1.97 | 200 | 0.1962 | | 0.1199 | 3.93 | 400 | 0.2005 | **Final validation loss:** **0.2005** ## Framework versions - Transformers 4.38.0 - PyTorch 2.9.1+cu126 - Datasets 2.18.0 - Tokenizers 0.15.2

Source context: 4 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo xmullaboyeva/Qipchoq-STT

Source context: 35 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo xmullaboyeva/Qipchoq-STT