| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: outout_model_EUBookShop_data_only |
| 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. --> |
|
|
| # outout_model_EUBookShop_data_only |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1714 |
| - Wer: 12.0282 |
|
|
| It was trained only using the EUBookShop dataset for 20000 steps. |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 2 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - 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: 200 |
| - training_steps: 20000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:-----:|:---------------:|:-------:| |
| | 0.3552 | 0.1652 | 5000 | 0.4031 | 23.3443 | |
| | 0.3810 | 0.3303 | 10000 | 0.2821 | 18.6306 | |
| | 0.2647 | 0.4955 | 15000 | 0.2088 | 13.6450 | |
| | 0.1948 | 0.6607 | 20000 | 0.1714 | 12.0282 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.1.dev0 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
