--- library_name: peft language: - fr license: apache-2.0 base_model: openai/whisper-small tags: - base_model:adapter:openai/whisper-small - lora - transformers metrics: - wer model-index: - name: 52Hz Small Fr - IMT Atlantique X 52 Hertz results: [] --- # 52Hz Small Fr - IMT Atlantique X 52 Hertz This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Premier dataset organisé de 52 Hertz dataset. It achieves the following results on the evaluation set: - Loss: 0.3100 - Wer: 19.5896 ## 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: 8e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 2.4225 | 1.0 | 21 | 0.9856 | 61.0075 | | 1.1531 | 2.0 | 42 | 0.5645 | 34.5149 | | 0.6599 | 3.0 | 63 | 0.3796 | 29.8507 | | 0.4498 | 4.0 | 84 | 0.3136 | 26.6791 | | 0.3502 | 5.0 | 105 | 0.2993 | 26.6791 | | 0.2559 | 6.0 | 126 | 0.3062 | 25.5597 | | 0.1846 | 7.0 | 147 | 0.2905 | 21.6418 | | 0.1538 | 8.0 | 168 | 0.3110 | 23.6940 | | 0.1498 | 9.0 | 189 | 0.2954 | 21.0821 | | 0.1431 | 10.0 | 210 | 0.2963 | 20.7090 | | 0.0861 | 11.0 | 231 | 0.2945 | 19.5896 | | 0.082 | 12.0 | 252 | 0.3092 | 22.2015 | | 0.0786 | 13.0 | 273 | 0.2977 | 19.0299 | | 0.072 | 14.0 | 294 | 0.2997 | 21.2687 | | 0.0613 | 15.0 | 315 | 0.3030 | 20.3358 | | 0.0489 | 16.0 | 336 | 0.3104 | 20.3358 | | 0.0527 | 17.0 | 357 | 0.3075 | 19.4030 | | 0.052 | 18.0 | 378 | 0.3099 | 19.7761 | | 0.0518 | 19.0 | 399 | 0.3101 | 19.5896 | | 0.0491 | 20.0 | 420 | 0.3100 | 19.5896 | ### Framework versions - PEFT 0.18.1 - Transformers 4.57.3 - Pytorch 2.9.1+cu130 - Datasets 4.4.2 - Tokenizers 0.22.2