| | --- |
| | language: |
| | - sv |
| | license: apache-2.0 |
| | base_model: openai/whisper-small |
| | tags: |
| | - hf-asr-leaderboard |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_13_0 |
| | - google/fleurs |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: whisper-small-sv-extra-data |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: mozilla-foundation/common_voice_13_0 |
| | type: mozilla-foundation/common_voice_13_0 |
| | config: default |
| | split: test |
| | args: 'config: sv, split: test' |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 22.158468913970783 |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: google/fleurs |
| | type: google/fleurs |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 22.158468913970783 |
| | --- |
| | |
| | <!-- 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-sv-extra-data |
| |
|
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 and the google/fleurs datasets. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3843 |
| | - Wer: 22.1585 |
| | |
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant_with_warmup |
| | - lr_scheduler_warmup_steps: 500 |
| | - training_steps: 4000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | 0.3189 | 0.53 | 500 | 0.3610 | 25.2029 | |
| | | 0.1451 | 1.05 | 1000 | 0.3337 | 23.6495 | |
| | | 0.1432 | 1.58 | 1500 | 0.3263 | 22.8908 | |
| | | 0.0572 | 2.1 | 2000 | 0.3284 | 22.1622 | |
| | | 0.0502 | 2.63 | 2500 | 0.3405 | 22.2000 | |
| | | 0.0259 | 3.15 | 3000 | 0.3596 | 22.1924 | |
| | | 0.0246 | 3.68 | 3500 | 0.3650 | 22.2208 | |
| | | 0.0137 | 4.2 | 4000 | 0.3843 | 22.1585 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.36.0.dev0 |
| | - Pytorch 2.1.1+cu118 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| |
|
