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whisper_mdd_plan3
Nieves0112/whisper_mdd_plan3
whisper_mdd_plan3 is a machine learning model from Nieves0112. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated May 18, 2026
Parameters
816M
97 GB on disk
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.safetensors1.6 GB · 100%
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F16809M · 99%
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
whisper_mdd_plan3
This model is a fine-tuned version of 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
- Library
- transformers
- License
- mit
- Created
- May 16, 2026
- Updated
- May 18, 2026