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whisper-large-v3-turbo-lora-el
Fotiissss/whisper-large-v3-turbo-lora-el
whisper-large-v3-turbo-lora-el is a machine learning model from Fotiissss. 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
- May 29, 2025
- Updated
- May 30, 2025
- SHA
- a5e0160e
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-turbo-lora-el
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: 0.1734
- Wer: 0.4643
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3662 | 10.4278 | 250 | 0.3702 | 0.5488 |
| 0.2983 | 20.8556 | 500 | 0.3048 | 0.5264 |
| 0.2742 | 31.2567 | 750 | 0.2839 | 0.5168 |
| 0.2647 | 41.6845 | 1000 | 0.2698 | 0.5096 |
| 0.242 | 52.0856 | 1250 | 0.2581 | 0.5085 |
| 0.2395 | 62.5134 | 1500 | 0.2471 | 0.5019 |
| 0.229 | 72.9412 | 1750 | 0.2371 | 0.4973 |
| 0.2187 | 83.3422 | 2000 | 0.2279 | 0.4955 |
| 0.2086 | 93.7701 | 2250 | 0.2192 | 0.4947 |
| 0.202 | 104.1711 | 2500 | 0.2113 | 0.4942 |
| 0.1952 | 114.5989 | 2750 | 0.2041 | 0.4936 |
| 0.1828 | 125.0 | 3000 | 0.1974 | 0.4805 |
| 0.1819 | 135.4278 | 3250 | 0.1918 | 0.4826 |
| 0.1748 | 145.8556 | 3500 | 0.1867 | 0.4786 |
| 0.1755 | 156.2567 | 3750 | 0.1825 | 0.4770 |
| 0.1719 | 166.6845 | 4000 | 0.1791 | 0.4708 |
| 0.169 | 177.0856 | 4250 | 0.1766 | 0.4707 |
| 0.1674 | 187.5134 | 4500 | 0.1748 | 0.4640 |
| 0.1662 | 197.9412 | 4750 | 0.1738 | 0.4643 |
| 0.1609 | 208.3422 | 5000 | 0.1734 | 0.4643 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- May 29, 2025
- Updated
- May 30, 2025