| --- |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - NbAiLab/NCC_S3 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny GPU test |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: NbAiLab/NCC_S3 |
| type: NbAiLab/NCC_S3 |
| config: 'no' |
| split: validation |
| args: 'no' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 51.37028014616322 |
| --- |
| |
| <!-- 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 Tiny GPU test |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the NbAiLab/NCC_S3 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9375 |
| - Wer: 51.3703 |
| |
| ## 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: 3e-06 |
| - train_batch_size: 128 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 200 |
| - training_steps: 2000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 2.4574 | 0.1 | 200 | 1.4663 | 71.6504 | |
| | 1.9587 | 0.2 | 400 | 1.2581 | 64.7381 | |
| | 1.816 | 0.3 | 600 | 1.1672 | 60.9318 | |
| | 1.7199 | 0.4 | 800 | 1.1006 | 57.6736 | |
| | 1.6686 | 0.5 | 1000 | 1.0630 | 56.1815 | |
| | 1.621 | 0.6 | 1200 | 1.0273 | 55.4811 | |
| | 1.5846 | 0.7 | 1400 | 1.0017 | 53.9890 | |
| | 1.5482 | 0.8 | 1600 | 0.9773 | 53.0146 | |
| | 1.521 | 0.9 | 1800 | 0.9575 | 52.1011 | |
| | 1.4932 | 1.0 | 2000 | 0.9375 | 51.3703 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.0.dev0 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1.dev0 |
| - Tokenizers 0.13.2 |
|
|
