--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-a-nomi-ls results: [] --- # whisper-a-nomi-ls 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: 0.0301 - Wer: 97.3190 ## 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: 0.0004 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 132 - num_epochs: 11 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | No log | 1.0 | 88 | 0.2173 | 32.7078 | | 0.9256 | 2.0 | 176 | 0.0358 | 13.6729 | | 0.1103 | 3.0 | 264 | 0.1075 | 45.6658 | | 0.0399 | 4.0 | 352 | 0.0939 | 68.9008 | | 0.0319 | 5.0 | 440 | 0.0241 | 19.1242 | | 0.0144 | 6.0 | 528 | 0.0252 | 18.2306 | | 0.01 | 7.0 | 616 | 0.0300 | 99.3744 | | 0.0023 | 8.0 | 704 | 0.0268 | 97.9446 | | 0.0023 | 9.0 | 792 | 0.0301 | 97.3190 | | 0.0003 | 10.0 | 880 | 0.0301 | 97.3190 | | 0.0 | 11.0 | 968 | 0.0301 | 97.3190 | ### Framework versions - Transformers 4.47.0.dev0 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.0