| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - wer | |
| base_model: openai/whisper-medium | |
| model-index: | |
| - name: openai/whisper-medium | |
| 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. --> | |
| # openai/whisper-medium | |
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1711 | |
| - Wer: 10.1446 | |
| ## 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-06 | |
| - train_batch_size: 32 | |
| - 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: 200 | |
| - training_steps: 5000 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 0.111 | 0.2 | 1000 | 0.1786 | 11.0063 | | |
| | 0.0961 | 1.16 | 2000 | 0.1719 | 10.5906 | | |
| | 0.0732 | 2.12 | 3000 | 0.1743 | 10.3268 | | |
| | 0.0742 | 3.08 | 4000 | 0.1715 | 10.2262 | | |
| | 0.0692 | 4.03 | 5000 | 0.1711 | 10.1446 | | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.7.1.dev0 | |
| - Tokenizers 0.13.2 | |