| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: openai/whisper-large-v3-turbo |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - common_voice_17_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: whisper-finetuned-fullsample-v1 |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: common_voice_17_0 |
| | type: common_voice_17_0 |
| | config: pt |
| | split: None |
| | args: pt |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 11.31198430186737 |
| | --- |
| | |
| | <!-- 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-finetuned-fullsample-v1 |
| |
|
| | This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3719 |
| | - Wer: 11.3120 |
| | |
| | ## 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 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 256 |
| | - total_eval_batch_size: 32 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 600 |
| | - training_steps: 6000 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-------:|:----:|:---------------:|:-------:| |
| | | 0.0094 | 8.1384 | 1000 | 0.2714 | 24.2485 | |
| | | 0.0008 | 16.2767 | 2000 | 0.3292 | 25.8955 | |
| | | 0.0011 | 24.4151 | 3000 | 0.3289 | 12.6679 | |
| | | 0.0003 | 32.5534 | 4000 | 0.3546 | 12.0631 | |
| | | 0.0015 | 40.6918 | 5000 | 0.3405 | 12.0647 | |
| | | 0.0002 | 48.8301 | 6000 | 0.3719 | 11.3120 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.46.0.dev0 |
| | - Pytorch 2.4.1+cu124 |
| | - Datasets 3.0.2.dev0 |
| | - Tokenizers 0.20.0 |
| |
|
