--- library_name: transformers license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_trainer datasets: - PolyAI/minds14 metrics: - wer model-index: - name: whisper-tiny 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: 0.32762691853600945 --- # whisper-tiny 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: 0.6637 - Wer Ortho: 0.3263 - Wer: 0.3276 ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: constant_with_warmup - lr_scheduler_warmup_steps: 50 - training_steps: 500 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:| | 1.3521 | 1.7857 | 50 | 0.5871 | 0.4127 | 0.3849 | | 0.2839 | 3.5714 | 100 | 0.4864 | 0.3356 | 0.3300 | | 0.0983 | 5.3571 | 150 | 0.5188 | 0.3387 | 0.3270 | | 0.0285 | 7.1429 | 200 | 0.5651 | 0.3282 | 0.3164 | | 0.0064 | 8.9286 | 250 | 0.5842 | 0.3152 | 0.3123 | | 0.0021 | 10.7143 | 300 | 0.6164 | 0.3313 | 0.3312 | | 0.0013 | 12.5 | 350 | 0.6319 | 0.3263 | 0.3259 | | 0.0009 | 14.2857 | 400 | 0.6441 | 0.3245 | 0.3235 | | 0.0007 | 16.0714 | 450 | 0.6542 | 0.3251 | 0.3241 | | 0.0006 | 17.8571 | 500 | 0.6637 | 0.3263 | 0.3276 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0