| license: apache-2.0 | |
| base_model: openai/whisper-tiny | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - PolyAI/minds14 | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: whisper-tiny-en | |
| 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: 0.3562231759656652 | |
| <!-- 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 | |
| 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: 0.7171 | |
| - Wer Ortho: 0.3625 | |
| - Wer: 0.3562 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| | |
| | 0.0007 | 17.24 | 500 | 0.7171 | 0.3625 | 0.3562 | | |
| ### Framework versions | |
| - Transformers 4.32.0.dev0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |