| --- |
| base_model: openai/whisper-medium |
| datasets: |
| - AT_ENT |
| language: |
| - aeb |
| library_name: transformers |
| license: apache-2.0 |
| metrics: |
| - wer |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Whisper medium AT |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: AT_ENT |
| type: AT_ENT |
| args: 'config: aeb, split: test' |
| metrics: |
| - type: wer |
| value: 66.82967723906664 |
| name: Wer |
| --- |
| |
| <!-- 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. --> |
|
|
| # Whisper medium AT |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the AT_ENT dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2100 |
| - Wer: 66.8297 |
| |
| ## 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: 32 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | No log | 1.0 | 111 | 1.0527 | 63.9374 | |
| | No log | 2.0 | 222 | 1.0961 | 65.8796 | |
| | No log | 3.0 | 333 | 1.1626 | 67.5283 | |
| | No log | 4.0 | 444 | 1.2100 | 66.8297 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.45.1 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.0 |
|
|
