| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| base_model: openai/whisper-base |
| metrics: |
| - wer |
| model-index: |
| - name: train-test-valid |
| 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. --> |
|
|
| # train-test-valid |
|
|
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2197 |
| - Wer: 73.5930 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 12 |
| - eval_batch_size: 4 |
| - 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: 5000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:--------:|:----:|:---------------:|:-------:| |
| | 0.0002 | 23.8095 | 1000 | 1.1097 | 77.0127 | |
| | 0.0001 | 47.6190 | 2000 | 1.1609 | 74.0991 | |
| | 0.0001 | 71.4286 | 3000 | 1.1919 | 73.0716 | |
| | 0.0 | 95.2381 | 4000 | 1.2115 | 73.3783 | |
| | 0.0 | 119.0476 | 5000 | 1.2197 | 73.5930 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
| |
