--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-a-nomimose-trial results: [] --- # whisper-a-nomimose-trial 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: 0.0481 - Wer: 132.6667 ## 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: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-------:|:----:|:---------------:|:--------:| | 1.6555 | 1.0 | 109 | 0.8617 | 56.6667 | | 0.154 | 2.0 | 218 | 0.2293 | 52.3333 | | 0.0778 | 3.0 | 327 | 0.3132 | 63.3333 | | 0.0633 | 4.0 | 436 | 0.1483 | 80.0 | | 0.0503 | 5.0 | 545 | 0.3422 | 54.6667 | | 0.0533 | 6.0 | 654 | 0.1111 | 186.0 | | 0.0332 | 7.0 | 763 | 0.1978 | 101.0 | | 0.0242 | 8.0 | 872 | 0.1586 | 62.0 | | 0.0204 | 9.0 | 981 | 0.0867 | 59.3333 | | 0.0191 | 10.0 | 1090 | 0.1203 | 179.0 | | 0.0139 | 11.0 | 1199 | 0.0813 | 40.6667 | | 0.0083 | 12.0 | 1308 | 0.0827 | 60.0 | | 0.0052 | 13.0 | 1417 | 0.0945 | 131.3333 | | 0.0055 | 14.0 | 1526 | 0.0923 | 182.6667 | | 0.0055 | 15.0 | 1635 | 0.0937 | 152.6667 | | 0.0045 | 16.0 | 1744 | 0.0532 | 117.6667 | | 0.0024 | 17.0 | 1853 | 0.0575 | 126.3333 | | 0.002 | 18.0 | 1962 | 0.0505 | 136.0 | | 0.0022 | 19.0 | 2071 | 0.0491 | 136.3333 | | 0.0013 | 19.8203 | 2160 | 0.0481 | 132.6667 | ### Framework versions - Transformers 4.47.0.dev0 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.0