--- license: apache-2.0 base_model: openai/whisper-base.en tags: - generated_from_trainer metrics: - accuracy model-index: - name: whisper-base.en-fsc-h results: [] --- # whisper-base.en-fsc-h This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0700 - Accuracy: 0.9863 ## 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: 0.0005 - train_batch_size: 48 - eval_batch_size: 48 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 192 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 25 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:----:|:---------------:|:--------:| | No log | 0.9959 | 120 | 0.7203 | 0.7332 | | No log | 2.0 | 241 | 0.3685 | 0.8505 | | No log | 2.9959 | 361 | 0.2024 | 0.9293 | | No log | 4.0 | 482 | 0.1429 | 0.9552 | | No log | 4.9959 | 602 | 0.1143 | 0.9636 | | No log | 6.0 | 723 | 0.1738 | 0.9565 | | No log | 6.9959 | 843 | 0.1295 | 0.9560 | | No log | 8.0 | 964 | 0.1407 | 0.9599 | | 0.3435 | 8.9959 | 1084 | 0.1104 | 0.9694 | | 0.3435 | 10.0 | 1205 | 0.1054 | 0.9718 | | 0.3435 | 10.9959 | 1325 | 0.1042 | 0.9728 | | 0.3435 | 12.0 | 1446 | 0.1084 | 0.9710 | | 0.3435 | 12.9959 | 1566 | 0.0926 | 0.9789 | | 0.3435 | 14.0 | 1687 | 0.1120 | 0.9763 | | 0.3435 | 14.9959 | 1807 | 0.0903 | 0.9797 | | 0.3435 | 16.0 | 1928 | 0.0957 | 0.9800 | | 0.0255 | 16.9959 | 2048 | 0.0851 | 0.9815 | | 0.0255 | 18.0 | 2169 | 0.0723 | 0.9844 | | 0.0255 | 18.9959 | 2289 | 0.0784 | 0.9834 | | 0.0255 | 20.0 | 2410 | 0.0673 | 0.9860 | | 0.0255 | 20.9959 | 2530 | 0.0700 | 0.9863 | | 0.0255 | 22.0 | 2651 | 0.0707 | 0.9858 | | 0.0255 | 22.9959 | 2771 | 0.0712 | 0.9858 | | 0.0255 | 24.0 | 2892 | 0.0715 | 0.9858 | | 0.0015 | 24.8963 | 3000 | 0.0716 | 0.9858 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.2.2+cu121 - Datasets 2.18.0 - Tokenizers 0.19.1