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whisper-large-v3-mn-ft
Baysukk/whisper-large-v3-mn-ft
whisper-large-v3-mn-ft is a machine learning model from Baysukk. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 25, 2025
- Updated
- Apr 30, 2025
- SHA
- 58b36717
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-large-v3-mn-ft
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5834
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 500
- num_epochs: 6.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4317 | 0.5903 | 500 | 0.7475 |
| 1.1836 | 1.1806 | 1000 | 0.5816 |
| 0.8169 | 1.7710 | 1500 | 0.5508 |
| 0.5782 | 2.3613 | 2000 | 0.5468 |
| 0.4928 | 2.9516 | 2500 | 0.5429 |
| 0.444 | 3.5419 | 3000 | 0.5626 |
| 0.2888 | 4.1322 | 3500 | 0.5678 |
| 0.283 | 4.7226 | 4000 | 0.5710 |
| 0.1823 | 5.3129 | 4500 | 0.5852 |
| 0.1725 | 5.9032 | 5000 | 0.5834 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Apr 25, 2025
- Updated
- Apr 30, 2025