| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| datasets: |
| - PolyAI/minds14 |
| metrics: |
| - wer |
| model-index: |
| - name: michaelsh/whisper-tiny-minds-v5-numproc1 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: PolyAI/minds14 |
| type: PolyAI/minds14 |
| config: en-US |
| split: train |
| args: en-US |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.36609955891619406 |
| --- |
| |
| <!-- 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. --> |
|
|
| # michaelsh/whisper-tiny-minds-v5-numproc1 |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6160 |
| - Wer Ortho: 0.3635 |
| - Wer: 0.3661 |
|
|
| ## 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_ratio: 0.1 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 3.1128 | 1.0 | 29 | 1.5110 | 0.8028 | 0.7574 | |
| | 0.6583 | 2.0 | 58 | 0.5695 | 0.4347 | 0.4316 | |
| | 0.3271 | 3.0 | 87 | 0.5171 | 0.3945 | 0.3913 | |
| | 0.2003 | 4.0 | 116 | 0.5165 | 0.3912 | 0.3907 | |
| | 0.1189 | 5.0 | 145 | 0.5296 | 0.3819 | 0.3825 | |
| | 0.0623 | 6.0 | 174 | 0.5532 | 0.3747 | 0.3737 | |
| | 0.0326 | 7.0 | 203 | 0.5614 | 0.3865 | 0.3882 | |
| | 0.0149 | 8.0 | 232 | 0.6009 | 0.3628 | 0.3655 | |
| | 0.0093 | 9.0 | 261 | 0.6024 | 0.3707 | 0.3762 | |
| | 0.0038 | 10.0 | 290 | 0.6160 | 0.3635 | 0.3661 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.32.0.dev0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
| |
