| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-large-v3 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: multilingual-whisper-v3-unscripted |
| 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. --> |
|
|
| # multilingual-whisper-v3-unscripted |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4354 |
| - Wer: 0.3347 |
| - Cer: 0.1213 |
|
|
| ## 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 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - training_steps: 2000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
| | 0.5654 | 0.25 | 500 | 0.6164 | 0.5131 | 0.1576 | |
| | 0.4251 | 0.5 | 1000 | 0.5055 | 0.4647 | 0.1771 | |
| | 0.3301 | 0.75 | 1500 | 0.4573 | 0.3172 | 0.1060 | |
| | 0.2748 | 1.0 | 2000 | 0.4354 | 0.3347 | 0.1213 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.52.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.4 |
|
|
