| | --- |
| | language: |
| | - 'no' |
| | license: apache-2.0 |
| | tags: |
| | - whisper-event |
| | - norwegian |
| | datasets: |
| | - NbAiLab/NCC_S |
| | - NbAiLab/NPSC |
| | - NbAiLab/NST |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Large Norwegian Bokmål |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: FLEURS |
| | type: google/fleurs |
| | config: nb_no |
| | split: validation |
| | args: nb_no |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 10.718635559082031 |
| | duplicated_from: NbAiLab/whisper-large-v2-nob |
| | --- |
| | |
| | # Whisper Large Norwegian Bokmål |
| |
|
| | This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) trained on several datasets. |
| |
|
| | It is currently in the middle of a large training. Currently it achieves the following results on the evaluation set: |
| | - Loss: 0.2477 |
| | - Wer: 10.718635559082031 |
| |
|
| | ## Model description |
| |
|
| | The model is trained on a large corpus of roughly 5.000 hours of voice. The sources are subtitles from the Norwegian broadcaster NRK, transcribed speeches from the Norwegian parliament and voice recordings from Norsk Språkteknologi. |
| |
|
| | ## Intended uses & limitations |
| |
|
| | The model will be free for everyone to use when it is finished. |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 3e-06 |
| | - train_batch_size: 64 |
| | - gradient_accumulation_steps: 2 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant with warmpu |
| | - lr_scheduler_warmup_steps: 1000 |
| | - training_steps: 50.000 (currently @1.000) |
| | - mixed_precision_training: fp16 |
| | - deepspeed: true |
| | |
| | ### Live Training results |
| | See [Tensorboad Metrics](https://huggingface.co/NbAiLab/whisper-large-v2-nob/tensorboard) |
| | |
| | |
| | |
| | |
| | |
