| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - librispeech_asr |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-small-libirClean-vs-commonNative-en |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: librispeech_asr |
| type: librispeech_asr |
| config: clean |
| split: train |
| args: clean |
| metrics: |
| - name: Wer |
| type: wer |
| value: 85.53786155346116 |
| --- |
| |
| <!-- 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-libirClean-vs-commonNative-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: 2.3358 |
| - Wer: 85.5379 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 10 |
| - training_steps: 50 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 1.2481 | 0.08 | 10 | 3.5688 | 21.1895 | |
| | 0.7793 | 0.16 | 20 | 2.8307 | 38.9990 | |
| | 0.5443 | 0.24 | 30 | 2.4196 | 67.0458 | |
| | 0.4484 | 0.32 | 40 | 2.2903 | 71.1732 | |
| | 0.4086 | 0.4 | 50 | 2.3358 | 85.5379 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.25.0.dev0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
|
|
