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Whisper-small-new
nrshoudi/Whisper-small-new
Whisper-small-new is a machine learning model from nrshoudi. 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
- Jun 14, 2024
- Updated
- Jun 17, 2024
- SHA
- cbbf11b0
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-small-new
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0020
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: 0.001
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1302 | 1.0 | 137 | 0.0964 |
| 0.0897 | 2.0 | 274 | 0.0545 |
| 0.0691 | 3.0 | 411 | 0.0396 |
| 0.0482 | 4.0 | 548 | 0.0279 |
| 0.0374 | 5.0 | 685 | 0.0174 |
| 0.0189 | 6.0 | 822 | 0.0096 |
| 0.0108 | 7.0 | 959 | 0.0063 |
| 0.004 | 8.0 | 1096 | 0.0039 |
| 0.0039 | 9.0 | 1233 | 0.0024 |
| 0.0026 | 10.0 | 1370 | 0.0020 |
Framework versions
- PEFT 0.8.0
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jun 14, 2024
- Updated
- Jun 17, 2024