| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - PolyAI/minds14 |
| metrics: |
| - wer |
| base_model: openai/whisper-tiny |
| model-index: |
| - name: whisper-tiny-finetuned-minds14 |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: MINDS14 |
| type: PolyAI/minds14 |
| metrics: |
| - type: wer |
| value: 0.34993849938499383 |
| 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-tiny-finetuned-minds14 |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the MINDS14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6435 |
| - Wer Ortho: 0.3797 |
| - Wer: 0.3499 |
|
|
| ## 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: linear |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 4.995 | 1.0 | 29 | 2.9879 | 0.5425 | 0.4127 | |
| | 2.1634 | 2.0 | 58 | 0.8084 | 0.4382 | 0.3936 | |
| | 0.6659 | 3.0 | 87 | 0.6268 | 0.4144 | 0.3678 | |
| | 0.3865 | 4.0 | 116 | 0.5987 | 0.3880 | 0.3561 | |
| | 0.2428 | 5.0 | 145 | 0.6005 | 0.3990 | 0.3659 | |
| | 0.1734 | 6.0 | 174 | 0.6162 | 0.3906 | 0.3573 | |
| | 0.0965 | 7.0 | 203 | 0.6221 | 0.3893 | 0.3561 | |
| | 0.0682 | 8.0 | 232 | 0.6320 | 0.3803 | 0.3493 | |
| | 0.0473 | 9.0 | 261 | 0.6411 | 0.3797 | 0.3493 | |
| | 0.0476 | 10.0 | 290 | 0.6435 | 0.3797 | 0.3499 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.30.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
| |
