--- language: - eu license: apache-2.0 base_model: zuazo/whisper-tiny-es tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_13_0 metrics: - wer model-index: - name: Whisper Tiny Basque results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: mozilla-foundation/common_voice_13_0 eu type: mozilla-foundation/common_voice_13_0 config: eu split: test args: eu metrics: - name: Wer type: wer value: 32.57928632184374 --- # Whisper Tiny Basque This model is a fine-tuned version of [zuazo/whisper-tiny-es](https://huggingface.co/zuazo/whisper-tiny-es) on the mozilla-foundation/common_voice_13_0 eu dataset. It achieves the following results on the evaluation set: - Loss: 0.6730 - Wer: 32.5793 ## 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: 3.75e-05 - train_batch_size: 256 - eval_batch_size: 128 - 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 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.0073 | 19.0 | 1000 | 0.6110 | 33.5352 | | 0.001 | 38.0 | 2000 | 0.6730 | 32.5793 | | 0.0005 | 57.01 | 3000 | 0.7140 | 32.7352 | | 0.0003 | 76.01 | 4000 | 0.7406 | 32.9357 | | 0.0003 | 96.0 | 5000 | 0.7481 | 33.0714 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3