| | --- |
| | license: apache-2.0 |
| | base_model: openai/whisper-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: uncombined_audio |
| | 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. --> |
| |
|
| | # uncombined_audio |
| | |
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3756 |
| | - Wer: 7.5695 |
| | |
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 10 |
| | - training_steps: 100 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | 1.9424 | 0.16 | 20 | 0.7259 | 11.6499 | |
| | | 0.6281 | 0.32 | 40 | 0.5324 | 9.5801 | |
| | | 0.45 | 0.48 | 60 | 0.4571 | 9.4027 | |
| | | 0.4442 | 0.64 | 80 | 0.4031 | 8.2791 | |
| | | 0.3753 | 0.8 | 100 | 0.3756 | 7.5695 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.40.0.dev0 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
