| license: apache-2.0 | |
| tags: | |
| - whisper-event | |
| - generated_from_trainer | |
| datasets: | |
| - facebook/voxpopuli | |
| metrics: | |
| - wer | |
| base_model: openai/whisper-small | |
| model-index: | |
| - name: Whisper Small Croatian | |
| results: | |
| - task: | |
| type: automatic-speech-recognition | |
| name: Automatic Speech Recognition | |
| dataset: | |
| name: facebook/voxpopuli | |
| type: facebook/voxpopuli | |
| config: hr | |
| split: test | |
| args: hr | |
| metrics: | |
| - type: wer | |
| value: 25.37305060024683 | |
| 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 Small Croatian | |
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the facebook/voxpopuli hr dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6325 | |
| - Wer: 25.3731 | |
| ## 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: 64 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - training_steps: 5000 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| | |
| | 0.0028 | 24.01 | 1000 | 0.5303 | 26.1752 | | |
| | 0.0006 | 49.01 | 2000 | 0.5849 | 25.4123 | | |
| | 0.0003 | 74.01 | 3000 | 0.6141 | 25.6311 | | |
| | 0.0002 | 99.01 | 4000 | 0.6325 | 25.3731 | | |
| | 0.0002 | 124.01 | 5000 | 0.6405 | 25.4348 | | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.7.1.dev0 | |
| - Tokenizers 0.13.2 | |