--- library_name: transformers language: - id license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Tiny - FineTuned - Id - results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Common Voice 11.0 type: mozilla-foundation/common_voice_11_0 config: id split: None args: 'config: id, split: test' metrics: - name: Wer type: wer value: 59.896729776247845 --- # Whisper Tiny - FineTuned - Id - This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set: - Loss: 1.4286 - Wer: 59.8967 ## 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: 8 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - training_steps: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:------:|:----:|:---------------:|:-------:| | 1.7163 | 0.0159 | 1 | 1.8245 | 86.1446 | | 1.7097 | 0.0317 | 2 | 1.8245 | 86.1446 | | 1.7377 | 0.0476 | 3 | 1.8245 | 86.1446 | | 1.65 | 0.0635 | 4 | 1.8245 | 86.1446 | | 1.9103 | 0.0794 | 5 | 1.7649 | 68.5026 | | 1.7345 | 0.0952 | 6 | 1.6261 | 74.1824 | | 1.5202 | 0.1111 | 7 | 1.5249 | 59.6386 | | 1.5166 | 0.1270 | 8 | 1.4786 | 59.3804 | | 1.5636 | 0.1429 | 9 | 1.4523 | 59.5525 | | 1.5493 | 0.1587 | 10 | 1.4286 | 59.8967 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.5.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3