--- language: - zh license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_trainer datasets: - formospeech/hat_asr_aligned model-index: - name: Whisper Tiny Hakka Simulated Webcam results: [] --- # Whisper Tiny Hakka Simulated Webcam This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset. It achieves the following results on the evaluation set: - Loss: 0.1884 - Cer: 9.2679 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0001 - train_batch_size: 64 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 976 - training_steps: 9760 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | |:-------------:|:-------:|:----:|:---------------:|:-------:| | 0.2208 | 0.9980 | 488 | 0.3739 | 25.8594 | | 0.1188 | 1.9959 | 976 | 0.2960 | 24.9116 | | 0.0782 | 2.9939 | 1464 | 0.2618 | 18.5519 | | 0.041 | 3.9918 | 1952 | 0.2452 | 18.9357 | | 0.0251 | 4.9898 | 2440 | 0.2292 | 17.5810 | | 0.0169 | 5.9877 | 2928 | 0.2557 | 15.4137 | | 0.011 | 6.9857 | 3416 | 0.2254 | 17.0585 | | 0.0072 | 7.9836 | 3904 | 0.2343 | 12.5136 | | 0.0051 | 8.9816 | 4392 | 0.2362 | 12.3864 | | 0.0044 | 9.9796 | 4880 | 0.2261 | 12.0570 | | 0.0024 | 10.9775 | 5368 | 0.2191 | 11.3219 | | 0.0024 | 11.9755 | 5856 | 0.2158 | 12.1056 | | 0.0012 | 12.9734 | 6344 | 0.2027 | 9.9140 | | 0.0008 | 13.9714 | 6832 | 0.2002 | 9.7973 | | 0.0003 | 14.9693 | 7320 | 0.2084 | 10.1822 | | 0.001 | 15.9673 | 7808 | 0.1990 | 9.9082 | | 0.0002 | 16.9652 | 8296 | 0.1946 | 9.4355 | | 0.0001 | 17.9632 | 8784 | 0.1909 | 9.1361 | | 0.0001 | 18.9611 | 9272 | 0.1901 | 9.0517 | | 0.0001 | 19.9591 | 9760 | 0.1884 | 9.2679 | ### Framework versions - Transformers 4.42.3 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1