| --- |
| language: |
| - dv |
| license: apache-2.0 |
| base_model: openai/whisper-large-v3 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Large v3 DV - Alakxender |
| results: [] |
| pipeline_tag: automatic-speech-recognition |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| library_name: transformers |
| --- |
| |
| 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: 0.4610 |
| - Wer: 71.0345 |
|
|
| ## 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: 36 |
| - 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 | |
| |:-------------:|:-------:|:----:|:---------------:|:--------:| |
| | 1.4644 | 0.9772 | 300 | 1.0654 | 203.9655 | |
| | 0.2384 | 1.9544 | 600 | 0.3342 | 84.8276 | |
| | 0.1481 | 2.9316 | 900 | 0.2715 | 78.7931 | |
| | 0.0975 | 2.9772 | 1200 | 0.2635 | 76.0345 | |
| | 0.0616 | 3.9544 | 1500 | 0.2841 | 73.1034 | |
| | 0.0399 | 4.9772 | 1800 | 0.3215 | 72.2414 | |
| | 0.0218 | 5.9772 | 2100 | 0.3881 | 73.7931 | |
| | 0.046 | 6.9772 | 2400 | 0.2772 | 74.1379 | |
| | 0.018 | 7.9544 | 2700 | 0.3344 | 71.3793 | |
| | 0.0067 | 8.9316 | 3000 | 0.3947 | 71.7241 | |
| | 0.0023 | 9.9088 | 3300 | 0.4246 | 72.5862 | |
| | 0.0008 | 10.8860 | 3600 | 0.4503 | 71.7241 | |
| | 0.0003 | 11.8632 | 3900 | 0.4610 | 71.0345 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
