| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: AudioCourseU5-ASR |
| results: [] |
| datasets: |
| - PolyAI/minds14 |
| --- |
| |
| <!-- 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. --> |
|
|
| # AudioCourseU5-ASR |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6438 |
| - Wer Ortho: 34.4849 |
| - Wer: 0.3406 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 500 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 0.3065 | 3.57 | 100 | 0.4921 | 36.8908 | 0.3577 | |
| | 0.0391 | 7.14 | 200 | 0.5425 | 35.3486 | 0.3436 | |
| | 0.0042 | 10.71 | 300 | 0.5878 | 35.6570 | 0.3495 | |
| | 0.0012 | 14.29 | 400 | 0.6206 | 34.2998 | 0.3377 | |
| | 0.0007 | 17.86 | 500 | 0.6438 | 34.4849 | 0.3406 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.32.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
