| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny.en |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-tiny.en-atco2-asr |
| 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. --> |
|
|
| # whisper-tiny.en-atco2-asr |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1500 |
| - Wer: 61.5214 |
|
|
| ## 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: 128 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 100 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 2.3572 | 12.5 | 50 | 1.9974 | 100.8897 | |
| | 0.9286 | 25.0 | 100 | 1.5447 | 246.6637 | |
| | 0.5731 | 37.5 | 150 | 1.3265 | 233.9413 | |
| | 0.2702 | 50.0 | 200 | 1.2124 | 65.6584 | |
| | 0.1624 | 62.5 | 250 | 1.1642 | 62.5 | |
| | 0.0828 | 75.0 | 300 | 1.1518 | 71.1744 | |
| | 0.0596 | 87.5 | 350 | 1.1501 | 61.8772 | |
| | 0.0479 | 100.0 | 400 | 1.1500 | 61.5214 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.1.2 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
