--- language: - ko license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - fleurs metrics: - wer base_model: openai/whisper-small model-index: - name: Whisper Small Ko(FLUERS) - by p4b results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: FLUERS Korean type: fleurs config: ko_kr split: validation args: ko_kr metrics: - type: wer value: 148.1005085252767 name: Wer --- # Whisper Small Ko(FLUERS) - by p4b This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FLUERS Korean dataset. It achieves the following results on the evaluation set: - Loss: 0.4512 - Wer: 148.1005 ## 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: 1e-07 - train_batch_size: 96 - eval_batch_size: 64 - seed: 42 - distributed_type: multi-GPU - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 500 - training_steps: 4000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.6003 | 32.0 | 800 | 0.5913 | 167.2749 | | 0.459 | 64.0 | 1600 | 0.4978 | 170.9841 | | 0.4035 | 96.0 | 2400 | 0.4653 | 168.5911 | | 0.3812 | 128.0 | 3200 | 0.4531 | 149.4765 | | 0.3766 | 160.0 | 4000 | 0.4512 | 148.1005 | ### Framework versions - Transformers 4.26.0.dev0 - Pytorch 1.14.0.dev20221208+cu116 - Datasets 2.7.1.dev0 - Tokenizers 0.13.2