Whisper Mdd Plan3

--- library_name: transformers license: mit base_model: openai/whisper-large-v3-turbo tags: - generated_from_trainer metrics: - accuracy - precision - recall - f1 model-index: - name: whisper_mdd_plan3 results: [] --- # whisper_mdd_plan3 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3860 - Accuracy: 0.9230 - Precision: 0.2060 - Recall: 0.2502 - F1: 0.2260 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - 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: linear - lr_scheduler_warmup_steps: 0.1 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| | 0.6724 | 1.0 | 434 | 0.6998 | 0.9551 | 0 | 0.0 | 0 | | 0.7018 | 2.0 | 868 | 0.5470 | 0.9551 | 0 | 0.0 | 0 | | 0.6439 | 3.0 | 1302 | 0.4472 | 0.9551 | 0 | 0.0 | 0 | | 0.6696 | 4.0 | 1736 | 0.4261 | 0.9551 | 0 | 0.0 | 0 | | 0.6988 | 5.0 | 2170 | 0.4811 | 0.8077 | 0.1064 | 0.4436 | 0.1716 | | 0.5649 | 6.0 | 2604 | 0.4044 | 0.9319 | 0.1888 | 0.1566 | 0.1712 | | 0.5905 | 7.0 | 3038 | 0.3888 | 0.9436 | 0.2176 | 0.0988 | 0.1359 | | 0.5798 | 8.0 | 3472 | 0.3853 | 0.9313 | 0.2105 | 0.1924 | 0.2010 | | 0.5570 | 9.0 | 3906 | 0.4153 | 0.9036 | 0.1761 | 0.3119 | 0.2251 | | 0.4809 | 10.0 | 4340 | 0.3860 | 0.9230 | 0.2060 | 0.2502 | 0.2260 | ### Framework versions - Transformers 5.8.0 - Pytorch 2.8.0+cu128 - Datasets 4.8.5 - Tokenizers 0.22.2