| | --- |
| | language: |
| | - da |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | - hf-asr-leaderboard |
| | - whisper-event |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Medium Danish (CV11 + FLEAURS) |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: mozilla-foundation/common_voice_11_0 |
| | type: mozilla-foundation/common_voice_11_0 |
| | config: da |
| | split: test |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 13.708574434508153 |
| | --- |
| | |
| | <!-- 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 Danish (CV11 + FLEAURS) |
| |
|
| | This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0,google/fleurs da,da_dk dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5814 |
| | - Wer: 13.7086 |
| |
|
| | ## 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: 8e-06 |
| | - train_batch_size: 32 |
| | - 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: 500 |
| | - training_steps: 10000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | | 0.0265 | 3.14 | 1000 | 0.3690 | 14.7607 | |
| | | 0.0063 | 6.29 | 2000 | 0.4342 | 14.0926 | |
| | | 0.0016 | 9.43 | 3000 | 0.4847 | 14.3609 | |
| | | 0.002 | 12.58 | 4000 | 0.4919 | 14.1715 | |
| | | 0.0013 | 15.72 | 5000 | 0.5114 | 14.2294 | |
| | | 0.0014 | 18.87 | 6000 | 0.5197 | 13.9137 | |
| | | 0.0003 | 22.01 | 7000 | 0.5422 | 14.1978 | |
| | | 0.0001 | 25.16 | 8000 | 0.5659 | 13.8716 | |
| | | 0.0001 | 28.3 | 9000 | 0.5772 | 13.7296 | |
| | | 0.0001 | 31.45 | 10000 | 0.5814 | 13.7086 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.0.dev0 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.7.1.dev0 |
| | - Tokenizers 0.13.2 |
| | |
