| | --- |
| | language: |
| | - sv |
| | license: apache-2.0 |
| | tags: |
| | - hf-asr-leaderboard |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Small SV |
| | results: [] |
| | --- |
| | |
| | <!-- 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 |
| |
|
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3516 |
| | - Wer: 23.0598 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 200 |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | 0.3274 | 0.86 | 200 | 0.3552 | 24.7469 | |
| | | 0.1395 | 1.72 | 400 | 0.3303 | 23.5038 | |
| | | 0.074 | 2.59 | 600 | 0.3349 | 22.6603 | |
| | | 0.0199 | 3.45 | 800 | 0.3451 | 22.7935 | |
| | | 0.0089 | 4.31 | 1000 | 0.3516 | 23.0598 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0.dev0 |
| | - Pytorch 1.13.0+cu116 |
| | - Datasets 2.7.1 |
| | - Tokenizers 0.13.2 |
| |
|
