--- language: - bg license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_13_0 metrics: - wer model-index: - name: whisper-small-bg results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: mozilla-foundation/common_voice_13_0 bg type: mozilla-foundation/common_voice_13_0 config: bg split: test args: bg metrics: - name: Wer type: wer value: 44.67291341315287 --- # whisper-small-bg This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 bg dataset. It achieves the following results on the evaluation set: - Loss: 9.0612 - Wer: 44.6729 ## 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-05 - train_batch_size: 32 - eval_batch_size: 16 - seed: 42 - distributed_type: multi-GPU - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 5000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 4.9319 | 6.76 | 1000 | 10.0774 | 73.9892 | | 2.6116 | 13.51 | 2000 | 11.4089 | 67.0484 | | 0.9607 | 20.27 | 3000 | 11.8266 | 60.9448 | | 0.3464 | 27.03 | 4000 | 9.9500 | 52.1213 | | 0.0122 | 33.78 | 5000 | 9.0612 | 44.6729 | ### Framework versions - Transformers 4.31.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.12.0 - Tokenizers 0.13.3