| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - librispeech_asr |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-small-en |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: librispeech_asr |
| type: librispeech_asr |
| config: clean |
| split: test |
| args: clean |
| metrics: |
| - name: Wer |
| type: wer |
| value: 124.51154529307283 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # whisper-small-en |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech_asr dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 6.7832 |
| - Wer: 124.5115 |
| |
| ## 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: 0.0005 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2 |
| - training_steps: 100 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:| |
| | 9.6259 | 1.57 | 5 | 10.7408 | 1127.3535 | |
| | 11.5288 | 3.29 | 10 | 9.2534 | 100.0 | |
| | 10.9249 | 4.86 | 15 | 7.8357 | 100.0 | |
| | 7.0442 | 6.57 | 20 | 6.9971 | 595.3819 | |
| | 8.6762 | 8.29 | 25 | 5.6135 | 312.2558 | |
| | 5.4239 | 9.86 | 30 | 5.4885 | 97.1581 | |
| | 4.986 | 11.57 | 35 | 5.2888 | 628.7744 | |
| | 6.708 | 13.29 | 40 | 4.9665 | 277.6199 | |
| | 3.9096 | 14.86 | 45 | 5.0861 | 631.9716 | |
| | 3.2326 | 16.57 | 50 | 5.0090 | 279.7513 | |
| | 3.9691 | 18.29 | 55 | 5.0804 | 133.2149 | |
| | 1.8661 | 19.86 | 60 | 5.4423 | 317.5844 | |
| | 1.1588 | 21.57 | 65 | 5.7955 | 119.5382 | |
| | 1.0355 | 23.29 | 70 | 6.0458 | 190.2309 | |
| | 0.3455 | 24.86 | 75 | 6.3057 | 106.7496 | |
| | 0.142 | 26.57 | 80 | 6.5767 | 209.9467 | |
| | 0.1722 | 28.29 | 85 | 6.5937 | 101.4210 | |
| | 0.0816 | 29.86 | 90 | 6.7679 | 149.7336 | |
| | 0.079 | 31.57 | 95 | 6.8008 | 133.5702 | |
| | 0.1007 | 33.29 | 100 | 6.7832 | 124.5115 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
| |
