| | --- |
| | language: |
| | - de |
| | license: apache-2.0 |
| | base_model: openai/whisper-tiny |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper-Tiny-german-HanNeurAI |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Common Voice 11.0 |
| | type: mozilla-foundation/common_voice_11_0 |
| | config: de |
| | split: test |
| | args: 'config: de, split: test' |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 31.434636476207324 |
| | --- |
| | |
| | <!-- 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-Tiny-german-HanNeurAI |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5505 |
| | - Wer: 31.4346 |
| |
|
| | This model is part of my school project, it uses shuffled 100k rows of train dataset since the computation power is limited. |
| |
|
| | Additional information can be found in this github: [HanCreation/Whisper-Tiny-German](https://github.com/HanCreation/Whisper-Tiny-German) |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 1e-05 |
| | - train_batch_size: 16 |
| | - 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: 4000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | 0.4824 | 0.16 | 1000 | 0.6305 | 35.5019 | |
| | | 0.4284 | 0.32 | 2000 | 0.5855 | 33.3615 | |
| | | 0.4152 | 0.48 | 3000 | 0.5610 | 32.1068 | |
| | | 0.4387 | 0.64 | 4000 | 0.5505 | 31.4346 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.2 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
