| | --- |
| | language: |
| | - id |
| | license: apache-2.0 |
| | tags: |
| | - whisper-event |
| | - generated_from_trainer |
| | datasets: |
| | - google/fleurs |
| | - indonesian-nlp/librivox-indonesia |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | - cer |
| | model-index: |
| | - name: Whisper Medium ID - FLEURS-CV-LBV - Augmented |
| | results: |
| | - task: |
| | type: automatic-speech-recognition |
| | name: Automatic Speech Recognition |
| | dataset: |
| | name: google/fleurs |
| | type: google/fleurs |
| | config: id_id |
| | split: test |
| | metrics: |
| | - type: wer |
| | value: 7.17 |
| | name: WER |
| | - type: cer |
| | value: 2.39 |
| | name: CER |
| | - task: |
| | type: automatic-speech-recognition |
| | name: Automatic Speech Recognition |
| | dataset: |
| | name: mozilla-foundation/common_voice_11_0 |
| | type: mozilla-foundation/common_voice_11_0 |
| | config: id |
| | split: test |
| | metrics: |
| | - type: wer |
| | value: 7.59 |
| | name: WER |
| | - type: cer |
| | value: 2.33 |
| | name: CER |
| | - task: |
| | type: automatic-speech-recognition |
| | name: Automatic Speech Recognition |
| | dataset: |
| | name: indonesian-nlp/librivox-indonesia |
| | type: indonesian-nlp/librivox-indonesia |
| | config: ind |
| | split: test |
| | metrics: |
| | - type: wer |
| | value: 6.07 |
| | name: WER |
| | - type: cer |
| | value: 1.84 |
| | name: CER |
| | --- |
| | |
| | <!-- 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 Medium ID - FLEURS-CV-LBV - Augmented |
| |
|
| | This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the following datasets: |
| | - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) |
| | - [google/fleurs](https://huggingface.co/datasets/google/fleurs) |
| | - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) |
| |
|
| | It achieves the following results on the evaluation set (Common Voice 11.0): |
| | - Loss: 0.2788 |
| | - Wer: 7.6132 |
| | - Cer: 2.3332 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | Training: |
| | - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (train+validation) |
| | - [google/fleurs](https://huggingface.co/datasets/google/fleurs) (train+validation) |
| | - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) (train) |
| |
|
| | Evaluation: |
| | - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (test) |
| | - [google/fleurs](https://huggingface.co/datasets/google/fleurs) (test) |
| | - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) (test) |
| |
|
| | ## Training procedure |
| |
|
| | Datasets were augmented on-the-fly using [audiomentations](https://github.com/iver56/audiomentations) via PitchShift, AddGaussianNoise and TimeStretch transformations at `p=0.3`. |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 1e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - training_steps: 10000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
| | | 0.3002 | 1.9 | 1000 | 0.1659 | 8.1850 | 2.5333 | |
| | | 0.0514 | 3.8 | 2000 | 0.1818 | 8.0559 | 2.5244 | |
| | | 0.0145 | 5.7 | 3000 | 0.2150 | 7.8945 | 2.5281 | |
| | | 0.0037 | 7.6 | 4000 | 0.2248 | 7.7100 | 2.3738 | |
| | | 0.0016 | 9.51 | 5000 | 0.2402 | 7.6224 | 2.3591 | |
| | | 0.0009 | 11.41 | 6000 | 0.2525 | 7.7654 | 2.3952 | |
| | | 0.0005 | 13.31 | 7000 | 0.2609 | 7.5994 | 2.3487 | |
| | | 0.0008 | 15.21 | 8000 | 0.2682 | 7.5855 | 2.3347 | |
| | | 0.0002 | 17.11 | 9000 | 0.2756 | 7.6178 | 2.3288 | |
| | | 0.0002 | 19.01 | 10000 | 0.2788 | 7.6132 | 2.3332 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.0.dev0 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.7.1.dev0 |
| | - Tokenizers 0.13.2 |
| | |
