--- language: - fr license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - wer model-index: - name: Test Small FR DnD - Joey Martig results: [] --- # Test Small FR DnD - Joey Martig This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0796 - Wer: 74.7059 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 50 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | No log | 1.0 | 7 | 1.4690 | 51.0924 | | No log | 2.0 | 14 | 1.2158 | 47.1429 | | No log | 3.0 | 21 | 0.9747 | 43.6975 | | No log | 4.0 | 28 | 0.7241 | 35.2941 | | No log | 5.0 | 35 | 0.4766 | 91.5126 | | No log | 6.0 | 42 | 0.3080 | 97.8151 | | No log | 7.0 | 49 | 0.1937 | 78.2353 | | No log | 8.0 | 56 | 0.1173 | 78.2353 | | No log | 9.0 | 63 | 0.0884 | 73.4454 | | No log | 10.0 | 70 | 0.0796 | 74.7059 | ### Framework versions - Transformers 4.43.0.dev0 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1