| --- |
| language: |
| - bg |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| - hf-asr-leaderboard |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| model-index: |
| - name: Whisper Medium Bulgarian |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: bg |
| split: test |
| args: bg |
| metrics: |
| - name: Wer |
| type: wer |
| value: 18.7606 |
| --- |
| |
| <!-- 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 Bulgarian |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.3423 |
| - eval_wer: 18.7606 |
| - eval_runtime: 1297.1096 |
| - eval_samples_per_second: 1.402 |
| - eval_steps_per_second: 0.044 |
| - epoch: 5.48 |
| - step: 400 |
| |
| ## 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: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1.dev0 |
| - Tokenizers 0.13.2 |
| |
